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The Resource Fundamentals of predictive text mining, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang

Fundamentals of predictive text mining, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang

Label
Fundamentals of predictive text mining
Title
Fundamentals of predictive text mining
Statement of responsibility
Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
Creator
Contributor
Subject
Language
eng
Summary
One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining - the process of analyzing unstructured natural-language text - is concerned with how to extract information from these documents. Developed from the authors' highly successful Springer reference on text mining, Fundamentals of Predictive Text Mining is an introductory textbook and guide to this rapidly evolving field. Integrating topics spanning the varied disciplines of data mining, machine learning, databases, and computational linguistics, this uniquely useful book also provides practical advice for text mining. In-depth discussions are presented on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Background on data mining is beneficial, but not essential. Where advanced concepts are discussed that require mathematical maturity for a proper understanding, intuitive explanations are also provided for less advanced readers. Topics and features: Presents a comprehensive, practical and easy-to-read introduction to text mining Includes chapter summaries, useful historical and bibliographic remarks, and classroom-tested exercises for each chapter Explores the application and utility of each method, as well as the optimum techniques for specific scenarios Provides several descriptive case studies that take readers from problem description to systems deployment in the real world Includes access to industrial-strength text-mining software that runs on any computer. Describes methods that rely on basic statistical techniques, thus allowing for relevance to all languages (not just English) Contains links to free downloadable software and other supplementary instruction material Fundamentals of Predictive Text Mining is an essential resource for IT professionals and managers, as well as a key text for advanced undergraduate computer science students and beginning graduate students. Dr. Sholom M. Weiss is a Research Staff Member with the IBM Predictive Modeling group, in Yorktown Heights, New York, and Professor Emeritus of Computer Science at Rutgers University. Dr. Nitin Indurkhya is Professor at the School of Computer Science and Engineering, University of New South Wales, Australia, as well as founder and president of data-mining consulting company Data-Miner Pty Ltd. Dr. Tong Zhang is Associate Professor at the Department of Statistics and Biostatistics at Rutgers University, New Jersey
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Weiss, Sholom M
Dewey number
006.3/12
Index
index present
Language note
English
LC call number
QA76.9.D343
LC item number
W45 2010
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1971-
http://library.link/vocab/relatedWorkOrContributorName
  • Indurkhya, Nitin
  • Zhang, Tong
Series statement
Texts in computer science
http://library.link/vocab/subjectName
  • Data mining
  • Informatique
  • Data mining
Label
Fundamentals of predictive text mining, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 211-217) and indexes
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Overview of Text Mining -- From Textual Information to Numerical Vectors -- Using Text for Prediction -- Information Retrieval and Text Mining -- Finding Structure in a Document Collection -- Looking for Information in Documents -- Data Sources for Prediction: Databases, Hybrid Data and the Web -- Case Studies -- Emerging Directions
Control code
654397211
Dimensions
unknown
Extent
1 online resource (xiii, 226 pages).
Form of item
online
Isbn
9781849962261
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-84996-226-1
http://library.link/vocab/ext/overdrive/overdriveId
978-1-84996-225-4
Specific material designation
remote
System control number
(OCoLC)654397211
Label
Fundamentals of predictive text mining, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
Publication
Bibliography note
Includes bibliographical references (pages 211-217) and indexes
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Overview of Text Mining -- From Textual Information to Numerical Vectors -- Using Text for Prediction -- Information Retrieval and Text Mining -- Finding Structure in a Document Collection -- Looking for Information in Documents -- Data Sources for Prediction: Databases, Hybrid Data and the Web -- Case Studies -- Emerging Directions
Control code
654397211
Dimensions
unknown
Extent
1 online resource (xiii, 226 pages).
Form of item
online
Isbn
9781849962261
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-84996-226-1
http://library.link/vocab/ext/overdrive/overdriveId
978-1-84996-225-4
Specific material designation
remote
System control number
(OCoLC)654397211

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