Emerging technologies of text mining techniques and applications /

"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 o...

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Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Prado, Hercules Antonio do., Ferneda, Edilson.
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
Subjects:
Online Access:View fulltext via EzAccess
Table of 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, José Palazzo Moreira de Oliveira, and Stanley Loh
  • Chapter 12. A hierarchical online classifier for patent categorization / Domonkos Tikk, György Biró, and Attila Törcsvári
  • 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 José de Lucena Filho, Hércules Antonio do Prado, and Edilson Ferneda
  • Compilation of references
  • About the contributors
  • Index.