Amazon cover image
Image from Amazon.com

Emerging technologies of text mining [electronic resource] : techniques and applications / H�ercules Antonio do Prado, Edilson Ferneda, [editors].

Contributor(s): Publication details: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.Description: electronic texts (xvii, 358 p. : ill.) : digital filesISBN:
  • 9781599043753 (ebook)
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 005.74 22
LOC classification:
  • QA76.9.D343 E53 2008e
Online resources: Available additional physical forms:
  • Also available in print.
Contents:
Foreword -- Preface -- Acknowledgment -- Chapter 1. Information extraction: methodologies and applications / Jie Tang, Mingcai Hong, Duo Zhang, Bangyong Liang, and Juanzi Li -- Chapter 2. Creating strategic information for organizations with structured text / Roberto Penteado and Eric Boutin -- Chapter 3. Automatic NLP for competitive intelligence / Christian Aranha and Emmanuel Passos -- Chapter 4. Mining profiles and definitions with natural language processing / Horacio Saggion -- Chapter 5. Deriving taxonomy from documents at sentence level / Ying Liu, Han Tong Loh, and Wen Feng Lu -- Chapter 6. Rule discovery from textual data / Shigeaki Sakurai -- Chapter 7. Exploring unclassified texts using multiview semisupervised learning / Edson Takashi Matsubara, Maria Carolina Monard, and Ronaldo Cristiano Prati -- Chapter 8. A multi-agent neural network system for Web text mining / Lean Yu, Shouyang Wang, and Kin Keung Lai -- Chapter 9. Contextualized clustering in exploratory Web search / Jon Atle Gulla, Hans Olaf Borch, and Jon Espen Ingvaldsen --
Chapter 10. AntWeb: Web search based on ant behavior: approach and implementation in case of Interlegis / Li Weigang and Wu Man Qi -- Chapter 9. Conceptual clustering of textual documents and some insights for knowledge discovery / Leandro Krug Wives, Jos�e Palazzo Moreira de Oliveira, and Stanley Loh -- Chapter 12. A hierarchical online classifier for patent categorization / Domonkos Tikk, Gy�orgy Bir�o, and Attila T�orcsv�ari -- Chapter 8. Text mining to define a validated model of hospital rankings / Patricia Bintzler Cerrito -- Chapter 14. An interpretation process for clustering analysis based on the ontology of language / Wagner Francisco Castilho, Gentil Jos�e de Lucena Filho, H�ercules Antonio do Prado, and Edilson Ferneda -- Compilation of references -- About the contributors -- Index.
Abstract: "This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, it will provide libraries with the defining reference on this topic"--Provided by publisher.
Item type: eBooks
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

"Premier reference source", on book cover.

Includes bibliographical references and index.

Foreword -- Preface -- Acknowledgment -- Chapter 1. Information extraction: methodologies and applications / Jie Tang, Mingcai Hong, Duo Zhang, Bangyong Liang, and Juanzi Li -- Chapter 2. Creating strategic information for organizations with structured text / Roberto Penteado and Eric Boutin -- Chapter 3. Automatic NLP for competitive intelligence / Christian Aranha and Emmanuel Passos -- Chapter 4. Mining profiles and definitions with natural language processing / Horacio Saggion -- Chapter 5. Deriving taxonomy from documents at sentence level / Ying Liu, Han Tong Loh, and Wen Feng Lu -- Chapter 6. Rule discovery from textual data / Shigeaki Sakurai -- Chapter 7. Exploring unclassified texts using multiview semisupervised learning / Edson Takashi Matsubara, Maria Carolina Monard, and Ronaldo Cristiano Prati -- Chapter 8. A multi-agent neural network system for Web text mining / Lean Yu, Shouyang Wang, and Kin Keung Lai -- Chapter 9. Contextualized clustering in exploratory Web search / Jon Atle Gulla, Hans Olaf Borch, and Jon Espen Ingvaldsen --

Chapter 10. AntWeb: Web search based on ant behavior: approach and implementation in case of Interlegis / Li Weigang and Wu Man Qi -- Chapter 9. Conceptual clustering of textual documents and some insights for knowledge discovery / Leandro Krug Wives, Jos�e Palazzo Moreira de Oliveira, and Stanley Loh -- Chapter 12. A hierarchical online classifier for patent categorization / Domonkos Tikk, Gy�orgy Bir�o, and Attila T�orcsv�ari -- Chapter 8. Text mining to define a validated model of hospital rankings / Patricia Bintzler Cerrito -- Chapter 14. An interpretation process for clustering analysis based on the ontology of language / Wagner Francisco Castilho, Gentil Jos�e de Lucena Filho, H�ercules Antonio do Prado, and Edilson Ferneda -- Compilation of references -- About the contributors -- Index.

Restricted to subscribers or individual electronic text purchasers.

"This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, it will provide libraries with the defining reference on this topic"--Provided by publisher.

Also available in print.

Mode of access: World Wide Web.

Title from PDF t.p. (viewed on May 31, 2010).

Copyright © 2020 Alfaisal University Library. All Rights Reserved.
Tel: +966 11 2158948 Fax: +966 11 2157910 Email:
librarian@alfaisal.edu