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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
Data Analysis of Asymmetric Structures
Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research professionals across a wide range of disciplines and considers data analysis in fields such as psychology, sociology, social science, ecology, and marketing. In seven comprehensive chapters this guide details theories, methods, and models for the analysis of asymmetric structures in a variety of disciplines and presents future opportunities and challenges affecting research developments and business applications.
R 9,315.40
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
Exploratory Data Analysis Using R
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As before, the primary focus of the book is on identifying "interesting" features - good, bad, and ugly - in a dataset, why it is important to find them, how to treat them, and more generally, the use of R to explore and explain datasets and the analysis results derived from them.The book begins with a brief overview of exploratory data analysis using R, followed by a detailed discussion of creating various graphical data summaries in R. Then comes a thorough introduction to exploratory data analysis, and a detailed treatment of 13 data anomalies, why they are important, how to find them, and some options for addressing them. Subsequent chapters introduce the mechanics of working with external data, structured query language (SQL) for interacting with relational databases, linear regression analysis (the simplest and historically most important class of predictive models), and crafting data stories to explain our results to others. These chapters use R as an interactive data analysis platform, while Chapter 9 turns to writing programs in R, focusing on creating custom functions that can greatly simplify repetitive analysis tasks. Further chapters expand the scope to more advanced topics and techniques: special considerations for working with text data, a second look at exploratory data analysis, and more general predictive models. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. It keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.
R 5,165.00
Mechanics of Aircraft Structures
MECHANICS OF AIRCRAFT STRUCTURES Explore the most up-to-date overview of the foundations of aircraft structures combined with a review of new aircraft materials The newly revised Third Edition of Mechanics of Aircraft Structures delivers a combination of the fundamentals of aircraft structure with an overview of new materials in the industry and a collection of rigorous analysis tools into a single one-stop resource. Perfect for a one-semester introductory course in structural mechanics and aerospace engineering, the distinguished authors have created a textbook that is also ideal for mechanical or aerospace engineers who wish to stay updated on recent advances in the industry. The new edition contains new problems and worked examples in each chapter and improves student accessibility. A new chapter on aircraft loads and new material on elasticity and structural idealization form part of the expanded content in the book. Readers will also benefit from the inclusion of: A thorough introduction to the characteristics of aircraft structures and materials, including the different types of aircraft structures and their basic structural elementsAn exploration of load on aircraft structures, including loads on wing, fuselage, landing gear, and stabilizer structuresAn examination of the concept of elasticity, including the concepts of displacement, strain, and stress, and the equations of equilibrium in a nonuniform stress fieldA treatment of the concept of torsion Perfect for senior undergraduate and graduate students in aerospace engineering, Mechanics of Aircraft Structures will also earn a place in the libraries of aerospace engineers seeking a one-stop reference to solidify their understanding of the fundamentals of aircraft structures and discover an overview of new materials in the field.
R 4,854.00
Research Issues in Structured and Semistructured Database Programming
The Seventh International Workshop on Database Programming Languages (DBPL99) took place in Kinloch Rannoch,Perthshire,UK from the 1st to the 3rd of September 1999. This series of workshops focuses on the interaction of theory and practice in the design and development of database programming languages. The workshop has occurred biennially since 1987,and was previously held in: Rosco?,Finist'ere,France (1987) Salishan,Oregon,USA (1989) Nafplion,Argolida,Greece (1991) Manhattan,New York,USA (1993) Gubbio,Umbria,Italy (1995) Estes Park,Colorado,USA (1997) The workshop,as always,was organised as a mixture of invited speakers, informal paper presentations and discussion. Attendance at the workshop was limited to those who submitted papers and members of the Programme C- mittee,to ensure a su?ciently small forum for useful discussion. Before ?nding their way into this volume,papers were refereed by at least three members of the Programme Committee. Sixteen of the 31 submitted papers were accepted for presentation at the workshop.In the tradition of the series,authors were - couraged to improve their papers based on both referees' comments and ensuing discussion at the workshop,and resubmit them for publication in this volume, after which a further stage of refereeing took place. The result,we believe,is a volume of high-quality and well-polished papers. Two invited presentations were given,by Luca Cardelli (Microsoft Research Labs,Cambridge,UK) and Alon Levy (University of Washington).
R 1,563.43
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
Multiscale Fatigue Crack Initiation and Propagation of Engineering Materials: Structural Integrity and Microstructural Worthiness
What can be added to the fracture mechanics of metal fatigue that has not already been said since the 1900s? From the view point of the material and structure engineer, there are many aspects of failure by fatigue that are in need of attention, particularly when the size and time of the working components are changed by orders of magnitude from those considered by st traditional means. The 21 century marks an era of technology transition where structures are made larger and devices are made smaller, rendering the method of destructive testing unpractical. While health monitoring entered the field of science and engineering, the practitioners are discovering that the correlation between the signal and the location of interest depends on a priori knowledge of where failure may initiate. This information is not easy to find because the integrity of the physical system will change with time. Required is software that can self-adjust in time according to the monitored data. In this connection, effective application of health monitoring can use a predictive model of fatigue crack growth. Earlier fatigue crack growth models assumed functional dependence on the maximum stress and the size of the pre-existing crack or defect. Various possibilities were examined in the hope that the data could be grouped such that linear interpolation would apply.
R 8,979.21
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.
R 3,055.55
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
Conceptual Knowledge Structures
This book constitutes the refereed proceedings of the Second International Joint Conference on Conceptual Knowledge Structures, CONCEPTS 2025, held in Cluj-Napoca, Romania, during September 8-12, 2025. The 25 full papers and 2 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Methodology; Patterns, Clusters, Visualization and Software; Data Analysis; and Theory.
R 5,444.33
Social Network Data Analytics
Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
R 5,786.41
Structures of Language
This annotated commentary delineating Michel Pêcheux's materialist discourse theory anticipates the formation of a real social science to supersede the metaphysical meanings 'always-already-there' instituted by empirical ideology. Structures of Language presents Pêcheux's consequential work in respect to Ferdinand de Saussure's epistemological breakthrough that founded the science of linguistics: the theoretical separation of sound from meaning.Noam Chomsky's generative grammar, John Searle"s philosophy of language, B.F. Skinner's indwelling agents, J.L. Austin's speech situations, Jacques Lacan's symbolic order, and the influential theories of other linguistic researchers, are cited to explain imaginary semantic systems. The broader implications for structural metaphysics in language use are tacitly conveyed.
R 1,161.00
Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS
This student orientated guide to structural equation modeling promotes theoretical understanding and inspires students with the confidence to successfully apply SEM. Assuming no previous experience, and a minimum of mathematical knowledge, this is an invaluable companion for students taking introductory SEM courses in any discipline. Niels Blunch shines a light on each step of the structural equation modeling process, providing a detailed introduction to SPSS and EQS with a focus on EQS′ excellent graphical interface. He also sets out best practice for data entry and programming, and uses real life data to show how SEM is applied in research. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. A wide variety of examples from multiple disciplines and real world contexts. Exercises for each chapter on an accompanying . A detailed glossary. Clear, engaging and built around key software, this is an ideal introduction for anyone new to SEM.
R 3,536.58
Getting Structured Data from the Internet
Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data.Getting Structured Data from the Internet also includes a step-by-step tutorial on deploying your own crawlers using a production web scraping framework (such as Scrapy) and dealing with real-world issues (such as breaking Captcha, proxy IP rotation, and more). Code used in the book is provided to help you understand the concepts in practice and write your own web crawler to power your business ideas.What You Will LearnUnderstand web scraping, its applications/uses, and how to avoid web scraping by hitting publicly available rest API endpoints to directly get dataDevelop a web scraper and crawler from scratch using lxml and BeautifulSoup library, and learn about scraping from JavaScript-enabled pages using SeleniumUse AWS-based cloud computing with EC2, S3, Athena, SQS, and SNS to analyze, extract, and store useful insights from crawled pagesUse SQL language on PostgreSQL running on Amazon Relational Database Service (RDS) and SQLite using SQLalchemyReview sci-kit learn, Gensim, and spaCy to perform NLP tasks on scraped web pages such as name entity recognition, topic clustering (Kmeans, Agglomerative Clustering), topic modeling (LDA, NMF, LSI), topic classification (naive Bayes, Gradient Boosting Classifier) and text similarity (cosine distance-based nearest neighbors)Handle web archival file formats and explore Common Crawl open data on AWSIllustrate practical applications for web crawl data by building a similar website tool and a technology profiler similar to builtwith.comWrite scripts to create a backlinks database on a web scale similar to Ahrefs.com, Moz.com, Majestic.com, etc., for search engine optimization (SEO), competitor research, and determining website domain authority and rankingUse web crawl data to build a news sentiment analysis system or alternative financial analysis covering stock market trading signalsWrite a production-ready crawler in Python using Scrapy framework and deal with practical workarounds for Captchas, IP rotation, and moreWho This Book Is ForPrimary audience: data analysts and scientists with l
R 1,368.00
R 184.00
R 947.00
Programming the Dynamic Analysis of Structures
This title presents a series of integrated computer programs in Fortran-90 for the dynamic analysis of structures, using the finite element method. Two dimensional continuum structures such as walls are covered along with skeletal structures such as rigid jointed frames and plane grids. Response to general dynamic loading of single degree freedom systems is calculated, and the author also examines multi degree of freedom systems (including earthquake analysis). Each chapter covers a different aspect of analytic theory and the corresponding program segments. It should be an essential tool for practising structural and civil engineers, whilst also being of interest to academics and postgraduate students.
R 12,348.60
R 306.00
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
Forecasting, Structural Time Series Models and the Kalman Filter
In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.
R 7,396.73
Self-Assembled Structures
Self-assembly is a process in which a disordered system forms an organized structure without external direction. Examples include the formation of molecular crystals, lipid bilayers, and polymer brushes. This book reviews the fabrication and use of various self-assembled materials. In particular, the author pays special attention to self-assembled structures when in solution and in contact with surfaces, as such interactions can have a pronounced impact on their properties and applications. The text covers bulk solution and surfaces, assembled structures, colloid particles, polymer capsules, carbon nanotubes, as well as layer-by-layer assembly techniques.
R 11,129.28
Compilation Techniques for Reconfigurable Architectures
The extreme ?exibility of recon?gurable architectures and their performance pot- tial have made them a vehicle of choice in a wide range of computing domains, from rapid circuit prototyping to high-performance computing. The increasing availab- ity of transistors on a die has allowed the emergence of recon?gurable architectures with a large number of computing resources and interconnection topologies. To - ploit the potential of these recon?gurable architectures, programmers are forced to map their applications, typically written in high-level imperative programming l- guages, such as C or MATLAB, to hardware-oriented languages such as VHDL or Verilog. In this process, they must assume the role of hardware designers and software programmers and navigate a maze of program transformations, mapping, and synthesis steps to produce ef?cient recon?gurable computing implementations. The richness and sophistication of any of these application mapping steps make the mapping of computations to these architectures an increasingly daunting process. It is thus widely believed that automatic compilation from high-level programming languages is the key to the success of recon?gurable computing. This book describes a wide range of code transformations and mapping te- niques for programs described in high-level programming languages, most - tably imperative languages, to recon?gurable architectures.
R 3,027.48
State Machines using VHDL
This textbook teaches students techniques for the design of advanced digital systems using Field Programmable Gate Arrays (FPGAs). The authors focus on communication between FPGAs and peripheral devices (such as EEPROM, analog-to-digital converters, sensors, digital-to-analog converters, displays etc.) and in particular state machines and timed state machines for the implementation of serial communication protocols, such as UART, SPI, I²C, and display protocols, such as VGA, HDMI. VHDL is used as the programming language and all topics are covered in a structured, step-by-step manner.
R 3,467.26
Design Principles of Ships and Marine Structures
This book details every facet of ship design and design integration including naval architecture and marine engineering applications and principles relevant to the design of various systems, advanced numerical techniques applicable to maritime design procedure at the concept design stage. Second edition of this book discusses related sustainability aspects, high speed computing, handling of big data, data communication and virtual reality. It further includes second generation stability assessment and usage of alternative fuels.Highlights the shape design methodology of ship forms and layout design principlesDiscusses modern concepts of safety of marine vehicles and use of alternate fuels for sustainabilityIntroduces the design for production aspects in marine product developmentCovers climate change effects on marine environmentExplores XR and Digital Twin concept applicability in the ship design processThis book is aimed at students and design professionals in the field of shipping, shipbuilding and offshore engineering.
R 9,158.00
Practical Programming of Finite Element Procedures for Solids and Structures with MATLAB
Practical Programming of Finite Element Procedures for Solids and Structures with MATLAB: From Elasticity to Plasticity provides readers with step-by-step programming processes and applications of the finite element method (FEM) in MATLAB®, as well as the underlying theory. The hands-on approach covers a number of structural problems such as linear analysis of solids and structural elements, as well as nonlinear subjects including elastoplasticity and hyperelasticity. Each chapter begins with foundational topics to provide a solid understanding of the subject, then progresses to more complicated problems with supporting examples for constructing the appropriate program. This book focuses on topics commonly encountered in civil, mechanical, and aerospace engineering. Special situations in structural analysis, 2D and 3D solids with various mesh elements, surface and body loading, incremental solution process, elastoplasticity, and finite deformation hyperelastic analysis are covered. Code that can be implemented and further extended is also provided.
R 6,474.00
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
Exploring Language Structure
Designed for those beginning to study linguistics, this is a lively introduction to two key aspects of the structure of language: syntax (the structure of sentences) and morphology (the structure of words). It shows students in a step-by-step fashion how to analyze the syntax and morphology of any language, by clearly describing the basic methods and techniques, and providing almost 100 practical exercises based on data from a rich variety of the world's languages. Written in an engaging style and complete with a comprehensive glossary, Exploring Language Structure explains linguistic concepts by using clear analogies from everyday life. It introduces a range of essential topics in syntax and morphology, such as rules, categories, word classes, grammatical relations, multi-clause constructions and typology. Providing a solid foundation in morphology and syntax, this is the perfect introductory text for beginning students, and will fully prepare them for more advanced courses in linguistic analysis.
R 2,954.35
Multi-Paradigm Programming using C++
Aimed mainly at students, this self-contained reference book on C++ is of superb educational value. Starting from scratch, Vermeir explains the idea of address, value and type in C++ before quickly moving on to cover the more important aspects of the language such as classes, templates, generic programming and inheritance. He includes recent developments in C++, such as STL and the iostream library. There is also a chapter devoted to program design principles. By using plenty of examples the reader is stimulated and inspired to see how they can use what they have learnt in other more sophisticated applications. All the examples from the text, including some larger example programs are available on the author's website.
R 3,038.63
Exploratory Data Analysis Using R
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As before, the primary focus of the book is on identifying "interesting" features - good, bad, and ugly - in a dataset, why it is important to find them, how to treat them, and more generally, the use of R to explore and explain datasets and the analysis results derived from them.The book begins with a brief overview of exploratory data analysis using R, followed by a detailed discussion of creating various graphical data summaries in R. Then comes a thorough introduction to exploratory data analysis, and a detailed treatment of 13 data anomalies, why they are important, how to find them, and some options for addressing them. Subsequent chapters introduce the mechanics of working with external data, structured query language (SQL) for interacting with relational databases, linear regression analysis (the simplest and historically most important class of predictive models), and crafting data stories to explain our results to others. These chapters use R as an interactive data analysis platform, while Chapter 9 turns to writing programs in R, focusing on creating custom functions that can greatly simplify repetitive analysis tasks. Further chapters expand the scope to more advanced topics and techniques: special considerations for working with text data, a second look at exploratory data analysis, and more general predictive models. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. It keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.
R 2,674.00
R 641.00
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.
R 2,365.27
Multiscale Fatigue Crack Initiation and Propagation of Engineering Materials: Structural Integrity and Microstructural Worthiness
What can be added to the fracture mechanics of metal fatigue that has not already been said since the 1900s? From the view point of the material and structure engineer, there are many aspects of failure by fatigue that are in need of attention, particularly when the size and time of the working components are changed by orders of magnitude from those considered by st traditional means. The 21 century marks an era of technology transition where structures are made larger and devices are made smaller, rendering the method of destructive testing unpractical. While health monitoring entered the field of science and engineering, the practitioners are discovering that the correlation between the signal and the location of interest depends on a priori knowledge of where failure may initiate. This information is not easy to find because the integrity of the physical system will change with time. Required is software that can self-adjust in time according to the monitored data. In this connection, effective application of health monitoring can use a predictive model of fatigue crack growth. Earlier fatigue crack growth models assumed functional dependence on the maximum stress and the size of the pre-existing crack or defect. Various possibilities were examined in the hope that the data could be grouped such that linear interpolation would apply.
R 9,518.90
R 1,038.00
Introduction to Scientific Programming and Simulation Using R
Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data.The book’s four parts teach: Core knowledge of R and programming conceptsHow to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisationEssentials of probability, random variables, and expectation required to understand simulationStochastic modelling and simulation, including random number generation and Monte Carlo integration In a new chapter on systems of ordinary differential equations (ODEs), the authors cover the Euler, midpoint, and fourth-order Runge-Kutta (RK4) schemes for solving systems of first-order ODEs. They compare the numerical efficiency of the different schemes experimentally and show how to improve the RK4 scheme by using an adaptive step size. Another new chapter focuses on both discrete- and continuous-time Markov chains. It describes transition and rate matrices, classification of states, limiting behaviour, Kolmogorov forward and backward equations, finite absorbing chains, and expected hitting times. It also presents methods for simulating discrete- and continuous-time chains as well as techniques for defining the state space, including lumping states and supplementary variables.Building readers’ statistical intuition, Introduction to Scientific Programming and Simulation Using R, Second Edition shows how to turn algorithms into code. It is designed for those who want to make tools, not just use them. The code and data are available for download from CRAN.
R 5,694.76
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.
R 6,828.72
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.
R 1,957.87
Concrete Structures
This text presents the most effective analysis for predicting the true stresses and deflections of concrete structures, accounting for creep and shrinkage of concrete and relaxation of prestressed reinforcement. Sustainability has become a major requirement in modern structures, which need to sustain satisfactory service over a longer life. It is not rare to specify a life span of 100 years for infrastructure such as bridges. This complete and wide-ranging study of stresses and deformations of reinforced and prestressed concrete structures focuses on design methods for avoiding the deflections and cracking that diminish serviceability. This fourth edition has a new emphasis on designing for serviceability. It has been comprehensively updated. It now includes 65 solved examples and more than 45 instructive problems with answers given at the end of the book. An accompanying website contains design calculation programs, which allow interactive data input. Independent of codes of practice, the book is universally applicable, and is especially suitable for practising engineers and graduate students.
R 3,888.10
Big Data Applications and Use Cases
This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.
R 3,024.24
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
R 1,749.43
