menu
{ "item_title" : "Survey of Text Mining II", "item_author" : [" Michael W. Berry", "Malu Castellanos "], "item_description" : "The development of techniques for mining unstructured, semi-structured, and fully structured textual data has become critical in both academia and industry. This Second Edition brings readers thoroughly up to date with the emerging field of text mining, the application of techniques of machine learning in conjunction with natural language processing, information extraction, and algebraic/mathematical approaches to computational information retrieval. The book explores a broad range of issues, ranging from the development of new learning approaches to the parallelization of existing algorithms. In addition, it describes new application problems in areas such as email surveillance and anomaly detection. Presenting a comprehensive selection of topics within the field, this book is an indispensable resource for researchers, practitioners, and professionals involved in information retrieval, computational statistics, and datamining.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/84/996/713/184996713X_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Survey of Text Mining II|Michael W. Berry

Survey of Text Mining II : Clustering, Classification, and Retrieval

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

The development of techniques for mining unstructured, semi-structured, and fully structured textual data has become critical in both academia and industry. This Second Edition brings readers thoroughly up to date with the emerging field of text mining, the application of techniques of machine learning in conjunction with natural language processing, information extraction, and algebraic/mathematical approaches to computational information retrieval. The book explores a broad range of issues, ranging from the development of new learning approaches to the parallelization of existing algorithms. In addition, it describes new application problems in areas such as email surveillance and anomaly detection. Presenting a comprehensive selection of topics within the field, this book is an indispensable resource for researchers, practitioners, and professionals involved in information retrieval, computational statistics, and datamining.

This item is Non-Returnable

Details

  • ISBN-13: 9781849967136
  • ISBN-10: 184996713X
  • Publisher: Springer
  • Publish Date: October 2010
  • Dimensions: 9.21 x 6.14 x 0.54 inches
  • Shipping Weight: 0.81 pounds
  • Page Count: 240

Related Categories

You May Also Like...

    1

BAM Customer Reviews