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Handbook of research on text and Web mining technologies [electronic resource] / Min Song, Yi-fang Brook Wu, [editors].

Contributor(s): Publication details: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2009.Description: electronic texts (2 v. (xxxvi, 839, 15, 7 p.) : ill.) : digital filesISBN:
  • 9781599049915 (ebook)
  • 1599049910 (ebook)
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 005.75/9 22
LOC classification:
  • QA76.9.D343 H43 2009e
Online resources: Available additional physical forms:
  • Also available in print.
Contents:
Vol. 1. Section 1. Document Preprocessing -- 1. On Document Representation and Term Weights in Text Classification -- 2. Deriving Document Keyphrases for Text Mining -- 3. Intelligent Text Mining: Putting Evolutionary Methods and Language Technologies Together --
Section 2. Classification and Clustering -- 4. Automatic Syllabus Classification Using Support Vector Machines -- 5. Partially Supervised Text Categorization -- 6. Image Classification and Retrieval with Mining Technologies -- 7. Improving Techniques for Na�ive Bayes Text Classifiers -- 8. Using the Text Categorization Framework for Protein Classification -- 9. Featureless Data Clustering -- 10. Swarm Intelligence in Text Document Clustering -- 11. Some Efficient and Fast Approaches to Document Clustering -- 12. SOM-Based Clustering of Textual Documents Using WordNet -- 13. A Multi-Agent Neural Network System for Web Text Mining --
Section 3. Database, Ontology, and the Web -- 14. Frequent Mining on XML Documents -- 15. The Process and Application of XML Data Mining -- 16. Approximate Range Querying over Sliding Windows -- 17. Slicing and Dicing a Linguistic Data Cube -- 18. Discovering Personalized Novel Knowledge from Text -- 19. Untangling BioOntologies for Mining Biomedical Information -- 20. Thesaurus-Based Automatic Indexing -- 21. Concept-Based Text Mining -- 22. Statistical Methods for User Profiling in Web Usage Mining -- 23. Web Mining to Identify People of Similar Background -- 24. Hyperlink Structure Inspired by Web Usage -- 25. Designing and Mining Web Applications: A Conceptual Modeling Approach --
Vol. 2. -- 26. Web Usage Mining for Ontology Management -- 27. A Lattice-Based Framework for Interactively and Incrementally Mining Web Traversal Patterns -- 28. Privacy-Preserving Data Mining on the Web: Foundations and Techniques --
Section 4. Information Retrieval and Extraction -- 29. Automatic Reference Tracking -- 30. Determination of Unithood and Termhood for Term Recognition -- 31. Retrieving Non-Latin Information in a Latin Web: The Case of Greek -- 32. Latent Semantic Analysis and Beyond -- 33. Question Answering Using Word Associations -- 34. The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining --
Section 5. Application and Survey -- 35. Text Mining in Program Code -- 36. A Study of Friendship Networks and Blogosphere -- 37. An HL7-Aware Decision Support System for E-Health -- 38. Multitarget Classifiers for Mining in Bioinformatics -- 39. Current Issues and Future Analysis in Text Mining for Information Security Applications -- 40. Collaborative Filtering Based Recommendation Systems -- 41. Performance Evaluation Measures for Text Mining -- 42. Text Mining in Bioinformatics: Research and Application -- 43. Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics: Finding the Right Information for Consumer's Health Information Need -- 44. A Survey of Selected Software Technologies for Text Mining -- 45. Application of Text Mining Methodologies to Health Insurance Schedules -- 46. Web Mining System for Mobile-Phone Marketing -- 47. Web Service Architectures for Text Mining: An Exploration of the Issues via an E-Science Demonstrator.
Abstract: "This handbook presents recent advances and surveys of applications in text and web mining of interests to researchers and end-users "--Provided by publisher.
Item type: eBooks
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Includes bibliographical references and index.

Vol. 1. Section 1. Document Preprocessing -- 1. On Document Representation and Term Weights in Text Classification -- 2. Deriving Document Keyphrases for Text Mining -- 3. Intelligent Text Mining: Putting Evolutionary Methods and Language Technologies Together --

Section 2. Classification and Clustering -- 4. Automatic Syllabus Classification Using Support Vector Machines -- 5. Partially Supervised Text Categorization -- 6. Image Classification and Retrieval with Mining Technologies -- 7. Improving Techniques for Na�ive Bayes Text Classifiers -- 8. Using the Text Categorization Framework for Protein Classification -- 9. Featureless Data Clustering -- 10. Swarm Intelligence in Text Document Clustering -- 11. Some Efficient and Fast Approaches to Document Clustering -- 12. SOM-Based Clustering of Textual Documents Using WordNet -- 13. A Multi-Agent Neural Network System for Web Text Mining --

Section 3. Database, Ontology, and the Web -- 14. Frequent Mining on XML Documents -- 15. The Process and Application of XML Data Mining -- 16. Approximate Range Querying over Sliding Windows -- 17. Slicing and Dicing a Linguistic Data Cube -- 18. Discovering Personalized Novel Knowledge from Text -- 19. Untangling BioOntologies for Mining Biomedical Information -- 20. Thesaurus-Based Automatic Indexing -- 21. Concept-Based Text Mining -- 22. Statistical Methods for User Profiling in Web Usage Mining -- 23. Web Mining to Identify People of Similar Background -- 24. Hyperlink Structure Inspired by Web Usage -- 25. Designing and Mining Web Applications: A Conceptual Modeling Approach --

Vol. 2. -- 26. Web Usage Mining for Ontology Management -- 27. A Lattice-Based Framework for Interactively and Incrementally Mining Web Traversal Patterns -- 28. Privacy-Preserving Data Mining on the Web: Foundations and Techniques --

Section 4. Information Retrieval and Extraction -- 29. Automatic Reference Tracking -- 30. Determination of Unithood and Termhood for Term Recognition -- 31. Retrieving Non-Latin Information in a Latin Web: The Case of Greek -- 32. Latent Semantic Analysis and Beyond -- 33. Question Answering Using Word Associations -- 34. The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining --

Section 5. Application and Survey -- 35. Text Mining in Program Code -- 36. A Study of Friendship Networks and Blogosphere -- 37. An HL7-Aware Decision Support System for E-Health -- 38. Multitarget Classifiers for Mining in Bioinformatics -- 39. Current Issues and Future Analysis in Text Mining for Information Security Applications -- 40. Collaborative Filtering Based Recommendation Systems -- 41. Performance Evaluation Measures for Text Mining -- 42. Text Mining in Bioinformatics: Research and Application -- 43. Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics: Finding the Right Information for Consumer's Health Information Need -- 44. A Survey of Selected Software Technologies for Text Mining -- 45. Application of Text Mining Methodologies to Health Insurance Schedules -- 46. Web Mining System for Mobile-Phone Marketing -- 47. Web Service Architectures for Text Mining: An Exploration of the Issues via an E-Science Demonstrator.

Restricted to subscribers or individual electronic text purchasers.

"This handbook presents recent advances and surveys of applications in text and web mining of interests to researchers and end-users "--Provided by publisher.

Also available in print.

Mode of access: World Wide Web.

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