FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

Knowledge-Based Intelligent Information and Engineering Systems

Vasile Palade
    Product form
      FORMAT: Paperback / softback
      YOU COULD EARN 0 FUTURE RETAIL DISCOUNTS.

      This product is either out of print or out of stock. Add it to your wishlist and we will automatically let you know if it comes back into stock. Add to Wishlist

      ESTIMATED DELIVERY: Possibly out of print
      BUY NOW PAY LATER
      From R 0.00 per month!
      3x monthly payments of R 0.00 with
      4x fortnightly payments of R 0.00 with

      This product is either out of print or out of stock. Add it to your wishlist and we will automatically let you know if it comes back into stock. Add to Wishlist

      2.1 Text Summarization “Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks)” [3]. Basic and classical articles in text summarization appear in “Advances in automatic text summarization” [3]. A literature survey on information extraction and text summarization is given by Zechner [7]. In general, the process of automatic text summarization is divided into three stages: (1) analysis of the given text, (2) summarization of the text, (3) presentation of the summary in a suitable output form. Titles, abstracts and keywords are the most common summaries in Academic papers. Usually, the title, the abstract and the keywords are the first, second, and third parts of an Academic paper, respectively. The title usually describes the main issue discussed in the study and the abstract presents the reader a short description of the background, the study and its results. A keyword is either a single word (unigram), e.g.: ‘learning', or a collocation, which means a group of two or more words, representing an important concept, e.g.: ‘machine learning', ‘natural language processing'. Retrieving collocations from text was examined by Smadja [5] and automatic extraction of collocations was examined by Kita et al. [1].
      Format: Paperback / softback CONTRIBUTORS: Vasile Palade EAN: 9783540408031 COUNTRY: Germany PAGES: WEIGHT: 2386 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2003-08-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Information Technology, COMPUTERS / User Interfaces, COMPUTERS / Networking / Hardware WIDTH: 155 cm SPINE:

      Book Themes:

      Business mathematics and systems, Business applications, Network hardware, Data warehousing, Information retrieval, Applied computing, Artificial intelligence, Human–computer interaction

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      2.1 Text Summarization “Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks)” [3]. Basic and classical articles in text summarization appear in “Advances in automatic text summarization” [3]. A literature survey on information extraction and text summarization is given by Zechner [7]. In general, the process of automatic text summarization is divided into three stages: (1) analysis of the given text, (2) summarization of the text, (3) presentation of the summary in a suitable output form. Titles, abstracts and keywords are the most common summaries in Academic papers. Usually, the title, the abstract and the keywords are the first, second, and third parts of an Academic paper, respectively. The title usually describes the main issue discussed in the study and the abstract presents the reader a short description of the background, the study and its results. A keyword is either a single word (unigram), e.g.: ‘learning', or a collocation, which means a group of two or more words, representing an important concept, e.g.: ‘machine learning', ‘natural language processing'. Retrieving collocations from text was examined by Smadja [5] and automatic extraction of collocations was examined by Kita et al. [1].
      Format: Paperback / softback CONTRIBUTORS: Vasile Palade EAN: 9783540408031 COUNTRY: Germany PAGES: WEIGHT: 2386 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2003-08-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Information Technology, COMPUTERS / User Interfaces, COMPUTERS / Networking / Hardware WIDTH: 155 cm SPINE:

      Book Themes:

      Business mathematics and systems, Business applications, Network hardware, Data warehousing, Information retrieval, Applied computing, Artificial intelligence, Human–computer interaction

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account