Text mining application programming / by Manu Konchady

By: Konchady, ManuMaterial type: TextTextPublication details: New Delhi : Charles River Media, 2009cDescription: xix, 412 p. : ill. ; 24 cm. + 1 Compact Disc (4 3/4 in.)ISBN: 9788131502471 (pbk)Subject(s): Data miningDDC classification: 005.74
Contents:
Preface Acknowledgments Chapter 1 Introduction Chapter 2 Mathematics Background Chapter 3 Exploring Text Chapter 4 Markov Models and POS Tagging Chapter 5 Information Extraction Chapter 6 Search Engines Chapter 7 Searching the Web Chapter 8 Clustering Documents Chapter 9 Text Categorization Chapter 10 Summarization Chapter 11 Question & Answer About the CD-ROM Index
Summary: Teaches developers about the problems of managing unstructured text, and describes how to build tools for text mining using standard statistical methods from Artificial Intelligence and Operations
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
CD/DVD CD/DVD Namal Library
CD/DVD Rack 		005.74 KON-T 2009 1229 (Browse shelf (Opens below)) Available CD01229
Books Books Namal Library
Computer Science 		005.74 KON-T 2009 1229 (Browse shelf (Opens below)) Available 1229
Total holds: 0
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005.74 INM-B 2011 1584 Building the data warehouse / 005.74 KAH-I 2011 6307 Introduction to database management systems / 005.74 KIF-D 2008 2051 Database systems : 005.74 KON-T 2009 1229 Text mining application programming / 005.74 KOW-I 2013 6127 Information retrieval architecture and algorithms / 005.74 KRO-D 2004 2130 Database processing : 005.7/4 KRO-D 2006 2029 Database processing :

Index included

Preface Acknowledgments Chapter 1 Introduction Chapter 2 Mathematics Background Chapter 3 Exploring Text Chapter 4 Markov Models and POS Tagging Chapter 5 Information Extraction Chapter 6 Search Engines Chapter 7 Searching the Web Chapter 8 Clustering Documents Chapter 9 Text Categorization Chapter 10 Summarization Chapter 11 Question & Answer About the CD-ROM Index

Teaches developers about the problems of managing unstructured text, and describes how to build tools for text mining using standard statistical methods from Artificial Intelligence and Operations

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