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Mastering Structured Data on the Semantic Web
A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one another. Computers can "understand" such data better, which can be useful for task automation. The web sites that provide semantics (meaning) to software agents form the Semantic Web, the Artificial Intelligence extension of the World Wide Web. In contrast to the conventional Web (the "Web of Documents"), the Semantic Web includes the "Web of Data", which connects "things" (representing real-world humans and objects) rather than documents meaningless to computers. Mastering Structured Data on the Semantic Web explains the practical aspects and the theory behind the Semantic Web and how structured data, such as HTML5 Microdata and JSON-LD, can be used to improve your site’s performance on next-generation Search Engine Result Pages and be displayed on Google Knowledge Panels. You will learn how to represent arbitrary fields of human knowledge in a machine-interpretable form using the Resource Description Framework (RDF), the cornerstone of the Semantic Web. You will see how to store and manipulate RDF data in purpose-built graph databases such as triplestores and quadstores, that are exploited in Internet marketing, social media, and data mining, in the form of Big Data applications such as the Google Knowledge Graph, Wikidata, or Facebook’s Social Graph.With the constantly increasing user expectations in web services and applications, Semantic Web standards gain more popularity. This book will familiarize you with the leading controlled vocabularies and ontologies and explain how to represent your own concepts. After learning the principles of Linked Data, the five-star deployment scheme, and the Open Data concept, you will be able to create and interlink five-star Linked Open Data, and merge your RDF graphs to the LOD Cloud. The book also covers the most important tools for generating, storing, extracting, and visualizing RDF data, including, but not limited to, Protégé, TopBraid Composer, Sindice, Apache Marmotta, Callimachus, and Tabulator. You will learn to implement Apache Jena and Sesame in popular IDEs such as Eclipse and NetBeans, and use these APIs for rapid Semantic Web application development. Mastering Structured Data on the Semantic Web demonstrates how to represent and connect structured data to reach a wider audience, encourage data reuse, and provide content that can be automatically processed with full certainty. As a result, your web contents will be integral parts of the next revolution of the Web.
R 1,563.39
Understanding Structures
A highly illustrated textbook explaining the fundamentals of structural analysis, materials and design in one integrated volume. This integrated approach enables the student to tackle realistic design problems in the shortest possible time, and, because the relevance of the theory is immediately relevant, it is highly motivational. The text follows the process of design from initial concept through to final details. It focuses on using real data and avoiding a complex mathematical approach to encourage a feel and awareness for the physical behaviour of structures. Each stage of the design process is illustrated by a realistic numerical example which is based on genuine design data. The book is up-to-date for the Eurocodes.The book is intended for first year undergraduates and BTEC students of civil and structural engineering, building, architecture and surveying. Because it contains a lot of real design data, it may also be useful as a work of reference for the non-specialist practitioner.New to this Edition:- Fully updatedAccompanying online resources for this title can be found at bloomsburyonlineresources.com/understanding-structures-5e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
R 2,794.00
Steel Structures
The fourth edition of this popular steel structures book contains references to both Eurocodes and British Standards. All the material has been updated where necessary, and new and revised worked examples are included. Sections on the meaning, the purpose and limits of structural design, sustainable steel building and energy saving have been updated.The initial chapters cover the essentials of structural engineering and structural steel design. The remainder of the book is dedicated to a detail examination of the analysis and design of selected types of structures, presenting complex designs in an understandable and user-friendly way. These structures include a range of single and multi-storey buildings, floor systems and wide-span buildings. Each design example is illustrated with applications based on current Eurocodes or British Standard design data, thus assisting the reader to share in the environment of the design process that normally takes place in practical offices and develop real design skills.Two new chapters on the design of cased steel columns and plate girders with and without rigid end posts to EC4 & EC3 are included too. References have been fully updated and include useful website addresses.Emphasis is placed on practical design with a view to helping undergraduate students and newly qualified engineers bridge the gap between academic study and work in the design office. Practising engineers who need a refresher course on up-to-dates methods of design and analysis to EC3 and EC4 will also find the book useful, and numerous worked examples are included.
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Structures, Syntactic Computations and Acquisition
This book collects some of the most significant articles by Adriana Belletti published over the last ten years or so, offering readers a useful tool to see the mutual enrichment between linguistic theory and experimental studies on (modes of) language acquisition through her work.The volume explores domains of theoretical morphosyntax in the generative tradition and theoretically guided studies on language acquisition. An introduction specific to this volume contextualizes these contributions within ongoing developments in the field. Part I presents studies inspired by the illuminating interchange between linguistic theory and experimentation in the domain of language acquisition, leading to the formulation of explicit research questions tested experimentally and guiding in the proper interpretation of the results. Part II offers refined, detailed theoretical analyses of domains in which peripheral positions in the clause structures are crucially involved to express discourse contents, in sometimes not standard ways during development. Demonstrating how refined linguistic analyses play a crucial role in interpreting the peculiar shape of developmental data, this book will be of interest to scholars in syntax, language acquisition, and theoretical linguistics.
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Foundations of Object-Oriented Programming Using .NET 2.0 Patterns
* Includes coverage on .NET Generics, .NET 2.0. and coverage of both Open Source and Closed Source libraries and applications. *Based on C# code examples that work on multiple platforms (e.g. Linux, Windows, etc). * Focuses on solving problems in short and easy to digest segments.
R 1,026.00
Mining Latent Entity Structures
The "big data" era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life. Examples of such collections include scientific publications, enterprise logs, news articles, social media, and general web pages. Valuable knowledge about multi-typed entities is often hidden in the unstructured or loosely structured, interconnected data. Mining latent structures around entities uncovers hidden knowledge such as implicit topics, phrases, entity roles and relationships. In this monograph, we investigate the principles and methodologies of mining latent entity structures from massive unstructured and interconnected data. We propose a text-rich information network model for modeling data in many different domains. This leads to a series of new principles and powerful methodologies for mining latent structures, including (1) latent topical hierarchy, (2) quality topical phrases, (3) entity roles in hierarchical topical communities, and (4) entity relations. This book also introduces applications enabled by the mined structures and points out some promising research directions.
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Structure and Evolution of Single and Binary Stars
Classical stellar evolution theories have undergone some drastic changes in recent decades. New insights into the development of stellar interiors were obtained from studying stars in various stages of their lives, as well as with the help of fast computers, which gave a boost to the branch of numerical modelling of stellular structure and evolution. This book is divided into two parts. The first part deals with the general aspects of stellular structure and evolution including a chapter on numerical modelling. The second part deals with specific evolutionary aspects of single and binary stars with a variety of masses. The last chapter gives several models of stars with specific masses. The book is intended as an introduction for students, as well as a reference for researchers.
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Molecular Structures and Dimensions
This volume is the fourteenth classified bibliography of organic, organometallic and metal complex crystal structures prepared by the Cambridge Crystallo graphic Data Centre and published jointly with the International Union of Crystallography. The previous thirteen volumes covered the years 1935-81; the majority of references in the present volume pertain to structure analyses reported in the literature during 1981 and 1982. A few structures reported prior to 1981 and omitted in earlier volumes are also included. Volume 14 contains 4094 references to 4001 distinct chemical compounds with 2162 cross-references. Some 90% of these references were obtained by direct in-house scanning of 51 major journals; the remaining material was located by searching Chemical Abstracts and Bulletin Signa/etique. The table below summarizes the cut-off dates for the 25 direct-scan journals yielding most entries in Volume 14. The fully classified Chemical Diagram Index, first presented in Volume 13, is continued here. Volume 14 contains 3912 chemical structural diagrams, repre senting 98% of the compounds. The reasons for the omission of some diagrams are noted in the Introduction. This new index provides a rapid visual overview of compounds studied in 1981-82 and will, we hope, add greatly to the usefulness of the annual Bibliographies. The textual indexes in Volume 14 continue the system established in Volumes 9-13 and in the special volume Guide to the Literature 1935-76. The latter volume presents a set of cumulative indexes to the contents of Bibliographic Volumes 1-8.
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Fundamentals of Signals and Systems Using the Web and MATLAB
For a one-quarter or one-semster course on Signals and Systems. This new edition delivers an accessible yet comprehensive analytical introduction to continuous-time and discrete-time signals and systems. It also incorporates a strong emphasis on solving problems and exploring concepts, using demos, downloaded data, and MATLABa to demonstrate solutions for a wide range of problems in engineering and other fields such as financial data analysis. Its flexible structure adapts easily for courses taught by semester or by quarter.
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Deployable Structures
Research into and design of deployable structures requires the combination of many skills including knowledge of traditional mathematics, understanding of nonlinear structural behavior, use of modern numerical methods of simulation, and a great deal of engineering ingenuity. Accessible to practicing structural engineers and graduate students with no previous knowledge of the field, this title formulates and solves the complex engineering design problems with which deployable structures are associated. It also presents the issue of design of snap-through type deployable structures in an organized way which will be of interest to more experienced readers. Up-to-date practice and recent research results are highlighted throughout.
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Managing and Mining Sensor Data
Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.
R 4,243.02
Introduction to Bioinformatics Using Action Labs
Bioinformatics is the application of computational techniques and tools to analyze and manage biological data. This book provides an introduction to bioinformatics through the use of Action Labs. These labs allow students to get experience using real data and tools to solve difficult problems. The book comes with supplementary software tools and papers. The labs use data from Breast Cancer, Liver Disease, Diabetes, SARS, HIV, Extinct Organisms, and many others. The book has been written for first or second year computer science, mathematics, and biology students. The supplementary software and papers can be found at http://www.kibazen.com/binf
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Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis
This book constitutes the refereed proceedings of the 15th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2019, held in Ustroń, Poland, in May 2019.It consists of 26 carefully reviewed papers selected from 69 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing and analysis; artificial intelligence, data mining and knowledge discovery; image analysis and multimedia mining; bioinformatics and biomedical data analysis; industrial applications; networks and security.
R 2,188.00
Theory of Shell Structures
Shell structures form key components in a very wide range of engineering enterprise. The theory of shell structures is an old and large subject, with a huge literature. However, this book is not a compilation of results from the past. Instead, it is an attempt to bring the essence of the subject within the grasp of engineers. It tackles the fundamental question of how bending and stretching effects combine and interact in shell structures from a physical point of view; and it shows that this approach leads to an understanding of the structural mechanics of shells in general, and to useful results in particular problems. The first half of the book is concerned mainly with the basic ideas and equations of equilibrium, geometry and elasticity, and their combination in various useful ways. In particular, it includes a simple treatment of the geometry of general curved surfaces. The second half of the book first investigates the behaviour of various practical shell structures under static loading. Then there are chapters on the buckling of shells, on vibration, and on the application of plastic theory to analysis and design.
R 3,350.91
Genetic Algorithms + Data Structures = Evolution Programs
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.
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Scattering Analysis of Periodic Structures using Finite-Difference Time-Domain Method
Periodic structures are of great importance in electromagnetics due to their wide range of applications such as frequency selective surfaces (FSS), electromagnetic band gap (EBG) structures, periodic absorbers, meta-materials, and many others. The aim of this book is to develop efficient computational algorithms to analyze the scattering properties of various electromagnetic periodic structures using the finite-difference time-domain periodic boundary condition (FDTD/PBC) method. A new FDTD/PBC-based algorithm is introduced to analyze general skewed grid periodic structures while another algorithm is developed to analyze dispersive periodic structures. Moreover, the proposed algorithms are successfully integrated with the generalized scattering matrix (GSM) technique, identified as the hybrid FDTD-GSM algorithm, to efficiently analyze multilayer periodic structures. All the developed algorithms are easy to implement and are efficient in both computational time and memory usage. These algorithms are validated through several numerical test cases. The computational methods presented in this book will help scientists and engineers to investigate and design novel periodic structures and to explore other research frontiers in electromagnetics.Table of Contents: Introduction / FDTD Method and Periodic Boundary Conditions / Skewed Grid Periodic Structures / Dispersive Periodic Structures / Multilayered Periodic Structures / Conclusions
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Time Structures
The notion of time plays an important role in modern science. In computer science and artificial intelligence, the parameter of time is of particular importance, e.g. for planning robot activity, natural language processing, and time-varying scene analysis. This work investigates the relationship between classic, first-order theories of point- and interval-based time structures, modal logics of corresponding structures, and their algorithmic representations. To make this relationship complete, a formalisation of Allen's famous algorithm, applicable to various structures of time, is presented along with its translation to modal logics. All in all, the book is a competent and comprehensive analysis of logical descriptions and algorithmic representations of time structures.
R 1,549.76
Bibliography 1972–73 Organic and Organometallic Crystal Structures
This volume is the fifth c1assified bibliography of organic and organometallic crystal structures prepared by the Crystallographic Data Centre, University Chemical Laboratory, Cambridge, and püblished jointly with the International Union of Crystallography. The first four volumes covered the years 1935-1972. The present volume provides references principally to compounds whose struc tures were reported in the literature during 1972-1973. A few structures published prior to 1972 and omitted from the previous volumes are also included. The arrangement of entries in the 86 chemical c1asses is identical with the previous volumes and the reader is referred to the r ntroduction in Vol. I or Vol. 2 for a description of the practical use of the bibliography. There are three cumulative indexes in the present volume: formula, transition metal and author indexes. All three cover the period 1935- 1973 and give references to entries in Vois. 1-5. The bibliography and indexes were prepared, checked and printed by computer techniques described in the previous volumes. Magnetic tapes of the five volumes are available and anyone interested should contact the Centre for further details. Cn the present volume we have continued the special arrangement for literature search with the Centre National de la Recherche Scientifique, Paris, France. U nder this arrangement reprints of papers containing crystallographic data are sent directly to the Crystal lographic Data Centre, Cambridge, at the same time as they are sent out to abstractors preparing material for the Bulletin Signaletique.
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Structure of Physical Chemistry
Physical Chemistry is a difficult and diversified subject. Based on a good long spell of university teaching, this book lays emphasis on the structure and continuity of the whole subject and tries to show the relation of its various parts to one another. Certain themes or, one might almost say, leitmotifs run through physical chemistry, and these have been used to unify the composition. The treatment is neither historical nor formally deductive, but at each stage theauthor tries to indicate the route by which an inquiring mind might most simply and naturally proceed in its attempt to understand that part of the nature of things included in physical chemistry.
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Latent Structure And Causality: Inference From Data
Inferring latent structure and causality is crucial for understanding underlying patterns and relationships hidden in the data. This book covers selected models for latent structures and causal networks and inference methods for these models.After an introduction to the EM algorithm on incomplete data, the book provides a detailed coverage of a few widely used latent structure models, including mixture models, hidden Markov models, and stochastic block models. EM and variation EM algorithms are developed for parameter estimation under these models, with comparison to their Bayesian inference counterparts. We make further extensions of these models to related problems, such as clustering, motif discovery, Kalman filtering, and exchangeable random graphs. Conditional independence structures are utilized to infer the latent structures in the above models, which can be represented graphically. This notion generalizes naturally to the second part on graphical models that use graph separation to encode conditional independence. We cover a variety of graphical models, including undirected graphs, directed acyclic graphs (DAGs), chain graphs, and acyclic directed mixed graphs (ADMGs), and various Markov properties for these models. Recent methods that learn the structure of a graphical model from data are reviewed and discussed. In particular, DAGs and Bayesian networks are an important class of mathematical models for causality. After an introduction to causal inference with DAGs and structural equation models, we provide a detailed review of recent research on causal discovery via structure learning of graphs. Finally, we briefly introduce the causal bandit problem with sequential intervention.
R 3,838.87
Advanced Structural Dynamics and Active Control of Structures
Science is for those who learn; poetry for those who know. —Joseph Roux This book is a continuation of my previous book, Dynamics and Control of Structures [44]. The expanded book includes three additional chapters and an additional appendix: Chapter 3, “Special Models”; Chapter 8, “Modal Actuators and Sensors”; and Chapter 9, “System Identification. ” Other chapters have been significantly revised and supplemented with new topics, including discrete-time models of structures, limited-time and -frequency grammians and reduction, almo- balanced modal models, simultaneous placement of sensors and actuators, and structural damage detection. The appendices have also been updated and expanded. Appendix A consists of thirteen new Matlab programs. Appendix B is a new addition and includes eleven Matlab programs that solve examples from each chapter. In Appendix C model data are given. Several books on structural dynamics and control have been published. Meirovitch’s textbook [108] covers methods of structural dynamics (virtual work, d’Alambert’s principle, Hamilton’s principle, Lagrange’s and Hamilton’s equations, and modal analysis of structures) and control (pole placement methods, LQG design, and modal control). Ewins’s book [33] presents methods of modal testing of structures. Natke’s book [111] on structural identification also contains excellent material on structural dynamics. Fuller, Elliot, and Nelson [40] cover problems of structural active control and structural acoustic control.
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Using R for Data Analysis in Social Sciences
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings.Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test,covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and theprocess of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
R 2,105.89
Introduction To 80X86 Assembly Language And Computer Architecture
A Revised and Updated Edition of the Authoritative TextThis revised and updated Third Edition of the classic text guides students through assembly language using a hands-on approach, supporting future computing professionals with the basics they need to understand the mechanics and function of the computer’s inner workings. Through using real instruction sets to write real assembly language programs, students will become acquainted with the basics of computer architecture. 80x86 Assembly Language and Computer Architecture covers the Intel 80x86 using the powerful tools provided by Microsoft Visual Studio, including its 32- and 64-bit assemblers, its versatile debugger, and its ability to link assembly language and C/C++ program segments. The text also includes multiple examples of how individual 80x86 instructions execute, as well as complete programs using these instructions. Hands-on exercises reinforce key concepts and problem-solving skills.Updated to be compatible with Visual Studio 2012, and incorporating over a hundred new exercises, 80x86 Assembly Language and Computer Architecture: Third Edition is accessible and clear enough for beginning students while providing coverage of a rich set of 80x86 instructions and their use in simple assembly language programs. The text will prepare students to program effectively at any level.Key features of the fully revised and updated Third Edition include:• Updated to be used with Visual Studio 2012, while remaining compatible with earlier versions• Over 100 new exercises and programming exercises• Improved, clearer layout with easy-to-read illustrations• The same clear and accessibly writing style as previous editions• Full suite of ancillary materials, including PowerPoint lecture outlines, Test Bank, and answer keys• Suitable as a stand-alone text in an assembly language course or as a supplement in a computer architecture course
R 5,884.00
Data Science in Education Using R
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like?If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job.This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
R 2,528.00
Applied Statistics Using R
If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data.Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers.The book:Shows you how to use R packages and apply functions, adjusting them to suit different datasets.Gives you the tools to try new statistical techniques and empowers you to become confident using them.Encourages you to learn by doing when running and adapting the authors’ own code.Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect.Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.
R 3,060.00
Genealogical Genetic Structure
Although the long-term processes of evolution are selection and mutation, the infrastructure of a population is a no less important force in determining the distributions of genetic characteristics observable within populations. In small populations, and in particular in human populations, complex patterns of genealogical relationship between individuals can be an important factor in the maintenance of genetic variability. The aim of this book is to develop the quantitative theory of the interrelationship between the genealogical and the genetic structures of a population. Aspects of other structural features, such as migration patterns, are also discussed, but are not central to the development. There are three major aspects; each comprises two chapters of the text. First, genealogical relationships are characterized in a way which can illuminate their genetic consequences. Second, the evolutionary aspects of genealogical structure are developed. Finally, the last two chapters present methods of characterizing the complete structure of a genealogy, and of computing relevant parameters of genealogical structure; these topics are of relevance to genetic epidemiology as well as to population genetics.
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R 782.00
Introduction to Clustering Large and High-Dimensional Data
There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the World Wide Web continue to grow exponentially, the ability to find useful information increasingly depends on the indexing infrastructure or search engine. Clustering techniques can be used to discover natural groups in data sets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. Clustering has been used in a variety of areas, including computer vision, VLSI design, data mining, bio-informatics (gene expression analysis), and information retrieval, to name just a few. This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show recent research for more advanced audiences.
R 2,001.85
Mathematics of Discrete Structures for Computer Science
Mathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness, robustness and dependability. This book covers the foundational mathematics necessary for courses in computer science.The common approach to presenting mathematical concepts and operators is to define them in terms of properties they satisfy, and then based on these definitions develop ways of computing the result of applying the operators and prove them correct. This book is mainly written for computer science students, so here the author takes a different approach: he starts by defining ways of calculating the results of applying the operators and then proves that they satisfy various properties. After justifying his underlying approach the author offers detailed chapters covering propositional logic, predicate calculus, sets, relations, discrete structures, structured types, numbers, and reasoning about programs.The book contains chapter and section summaries, detailed proofs and many end-of-section exercises -- key to the learning process. The book is suitable for undergraduate and graduate students, and although the treatment focuses on areas with frequent applications in computer science, the book is also suitable for students of mathematics and engineering.
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Cellular Structures in Topology
This book describes the construction and the properties of CW-complexes. These spaces are important because firstly they are the correct framework for homotopy theory, and secondly most spaces that arise in pure mathematics are of this type. The authors discuss the foundations and also developments, for example, the theory of finite CW-complexes, CW-complexes in relation to the theory of fibrations, and Milnor's work on spaces of the type of CW-complexes. They establish very clearly the relationship between CW-complexes and the theory of simplicial complexes, which is developed in great detail. Exercises are provided throughout the book; some are straightforward, others extend the text in a non-trivial way. For the latter; further reference is given for their solution. Each chapter ends with a section sketching the historical development. An appendix gives basic results from topology, homology and homotopy theory. These features will aid graduate students, who can use the work as a course text. As a contemporary reference work it will be essential reading for the more specialized workers in algebraic topology and homotopy theory.
R 3,242.38
Reliability of Geotechnical Structures in ISO2394
The latest 4th edition of the international standard on the principles of reliability for load bearing structures (ISO2394:2015) includes a new Annex D dedicated to the reliability of geotechnical structures. The emphasis in Annex D is to identify and characterize critical elements of the geotechnical reliability-based design process. This book contains a wealth of data and information to assist geotechnical engineers with the implementation of semi-probabilistic or full probabilistic design approaches within the context of established geotechnical knowledge, principles, and experience. The introduction to the book presents an overview on how reliability can play a complementary role within prevailing norms in geotechnical practice to address situations where some measured data and/or past experience exist for limited site-specifi c data to be supplemented by both objective regional data and subjective judgment derived from comparable sites elsewhere. The principles of reliability as presented in ISO2394:2015 provides the common basis for harmonization of structural and geotechnical design. The balance of the chapters describes the uncertainty representation of geotechnical design parameters, the statistical characterization of multivariate geotechnical data and model factors, semi-probabilistic and direct probability-based design methods in accordance to the outline of Annex D.This book elaborates and reinforces the goal of Annex D to advance geotechnical reliability-based design with geotechnical needs at the forefront while complying with the general principles of reliability given by ISO2394:2015. It serves as a supplementary reference to Annex D and it is a must-read for designing geotechnical structures in compliance with ISO2394:2015.
R 2,674.00
Data Visualizations and Infographics
Graphics which visually represent data or complex ideas are oftentimes easier for people to understand and digest than standalone statistics. A map shaded with different colors to represent religious affiliations or income levels enables researchers to quickly identify trends and patterns. New free tools and applications offer librarians the opportunity to organize and manipulate data to quickly create these helpful graphics. Learn how to overlay data sets on maps, create infographics for library services and instruction, use mindmapping for group brainstorming sessions, produce detailed timelines, process flowcharts, diagrams, and much more in this complete how-to-guidebook.This complete how-to guidebook provides you with the tools and inspiration you need to use infographics and data visualization techniques in your library to knock your audience’s socks off as you tell your story in a visual format that can be consumed and understood at a glance. You will learn how to:·use the tools you already have to create a simple infographic;·create a library services infographic using Piktochart;·create instructional infographics with Easel.ly;·create interactive timelines; mindmap your brainstorming meetings;·create library flowcharts and diagrams using Creately;·create interactive maps with imported data; and·create complex data visualizations.
R 2,490.00
Data Mining
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples.Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology"This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago
R 2,381.00
Cellular Structures in Topology
This book describes the construction and the properties of CW-complexes. These spaces are important because firstly they are the correct framework for homotopy theory, and secondly most spaces that arise in pure mathematics are of this type. The authors discuss the foundations and also developments, for example, the theory of finite CW-complexes, CW-complexes in relation to the theory of fibrations, and Milnor's work on spaces of the type of CW-complexes. They establish very clearly the relationship between CW-complexes and the theory of simplicial complexes, which is developed in great detail. Exercises are provided throughout the book; some are straightforward, others extend the text in a non-trivial way. For the latter; further reference is given for their solution. Each chapter ends with a section sketching the historical development. An appendix gives basic results from topology, homology and homotopy theory. These features will aid graduate students, who can use the work as a course text. As a contemporary reference work it will be essential reading for the more specialized workers in algebraic topology and homotopy theory.
R 4,342.15
Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure
Artificial intelligence (AI) and the Internet of Things (IoT) are transforming the way geotechnical engineers monitor, analyze, and manage soil‑structure systems. Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure explores how these emerging digital technologies can enhance decision‑making, improve infrastructure resilience, and support sustainable development in civil engineering projects. It examines the integration of AI and IoT in geotechnical engineering, including slope stability assessments, data‑driven techniques for soil classification and characterization, foundation and liquefaction analysis, optimizing earthwork practices and operations, tunnels, and earth‑retaining structures using real‑time sensor networks and data‑driven models. This book also discusses machine learning techniques for predicting soil behavior, real‑time monitoring of pile foundations, automated site investigation methods, and digital tools for risk assessment and infrastructure health monitoring/ assessment.This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. It will also benefit professionals working in smart infrastructure, disaster risk reduction, and infrastructure asset management who are interested in integrating digital technologies into sustainable engineering practice.
R 6,118.00
Computer Architectures for Spatially Distributed Data
These are the proceedings of a NATO Advanced Study Institute (ASI) held in Cetraro, Italy during 6-17 June 1983. The title of the ASI was Computer Arehiteetures for SpatiaZZy vistributed Vata, and it brouqht together some 60 participants from Europe and America. Presented ~ere are 21 of the lectures that were delivered. The articles cover a wide spectrum of topics related to computer architecture s specially oriented toward the fast processing of spatial data, and represent an excellent review of the state-of-the-art of this topic. For more than 20 years now researchers in pattern recognition, image processing, meteorology, remote sensing, and computer engineering have been looking toward new forms of computer architectures to speed the processing of data from two- and three-dimensional processes. The work can be said to have commenced with the landmark article by Steve Unger in 1958, and it received a strong forward push with the development of the ILIAC III and IV computers at the University of Illinois during the 1960's. One clear obstacle faced by the computer designers in those days was the limitation of the state-of-the-art of hardware, when the only switching devices available to them were discrete transistors. As aresult parallel processing was generally considered to be imprae tieal, and relatively little progress was made.
R 3,194.44
Structure and Tectonics of the Indian Continental Crust and Its Adjoining Region
Structure and Tectonics of the Indian Continental Crust and Its Adjoining Region: Deep Seismic Studies, Second Edition, collates essential data from seismic studies of Earth’s crust across India, offering an essential understanding of the tectonic development of the Indian subcontinent. Seismic studies have been carried out in various parts of India since 1972, recording crust-related seismic data for determination of velocity-depth configuration and determination of structural patterns. The book examines the details of these studies, including their synthesis and global applications. The book presents both background and applications in one cohesive volume for researchers and students of geophysics and geology.
R 4,120.00
Structural Pattern Recognition using Graph Matching
This book presents a comprehensive exploration of structural pattern recognition with a clear understanding of graph representation and manipulation. It explains graph matching techniques, unearthing the core principles of graph similarity measures, subgraph isomorphism, and advanced algorithms tailored to various pattern recognition tasks. It bridges the gap between theory and application by providing case studies, hands-on examples, and applications. It is a reference book for academicians, researchers, and students working in the fields of structural pattern recognition, computer vision, artificial intelligence, and data science.• Begins with the fundamentals of graph theory, graph matching algorithms, and structural pattern recognition concepts and explains the principles, methodologies, and practical implementations• Presents relevant case studies and hands-on examples across chapters to guide making informed decisions by graph matching• Discusses various graph-matching algorithms, including exact and approximate methods, geometric methods, spectral techniques, graph kernels, and graph neural networks, including practical examples to illustrate the strengths and limitations of each approach• Showcases the versatility of graph matching in real-world applications, such as image analysis, biological molecule identification, object recognition, social network clustering, and recommendation systems• Describes deep learning models for graph matching, including graph convolutional networks (GCNs) and graph neural networks (GNNs)
R 9,311.30
Hi-C Data Analysis
This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.
R 4,869.73
Theory and Applications of Relational Structures as Knowledge Instruments
Relational structures abound in our daily environment: relational databases, data mining, scaling procedures, preference relations, etc. As the documentation of scientific results achieved within the European COST Action 274, TARSKI, this book advances the understanding of relational structures and the use of relational methods in various application fields.The 12 revised full papers were carefully reviewed and selected for presentations. The papers are devoted to mechanization of relational reasoning, relational scaling and preferences, and algebraic and logical foundations of real world relations.
R 2,339.06
Organic Structure Determination Using 2-D NMR Spectroscopy
Organic Structure Determination Using 2-D NMR Spectroscopy: A Problem-Based Approach, Second Edition, is a primary text for a course in two-dimensional (2-D) nuclear magnetic resonance (NMR) techniques, with the goal to learn to identify organic molecular structure. It presents strategies for assigning resonances to known structures and for deducing structures of unknown organic molecules based on their NMR spectra. The book begins with a discussion of the NMR technique, while subsequent chapters cover instrumental considerations; data collection, processing, and plotting; chemical shifts; symmetry and topicity; through-bond effects; and through-space effects. The book also covers molecular dynamics; strategies for assigning resonances to atoms within a molecule; strategies for elucidating unknown molecular structures; simple and complex assignment problems; and simple and complex unknown problems. Each chapter includes problems that will enable readers to test their understanding of the material discussed. The book contains 30 known and 30 unknown structure determination problems. It also features a supporting website from which instructors can download the structures of the unknowns in selected chapters, digital versions of all figures, and raw data sets for processing. This book will stand as a single source to which instructors and students can go to obtain a comprehensive compendium of NMR problems of varying difficulty.
R 2,059.00
