Handbook of Research on Text and Web Mining Technologies, 1st Edition

  • Published By:
  • ISBN-10: 1599049910
  • ISBN-13: 9781599049915
  • DDC: 006.312
  • Grade Level Range: College Freshman - College Senior
  • 974 Pages | eBook
  • Original Copyright 2008 | Published/Released March 2009
  • This publication's content originally published in print form: 2008

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Examines recent advances and surveys of applications in text and web mining which should be of interest to researchers and end-users alike.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
List of Contributors.
Table of Contents.
Detailed Table of Contents.
About the Editors.
1: Document Preprocessing.
2: On Document Representation and Term Weights in Text Classification.
3: Deriving Document Keyphrases for Text Mining.
4: Intelligent Text Mining: Putting Evolutionary Methods and Language Technologies Together.
5: Classification and Clustering.
6: Automatic Syllabus Classification using Support Vector Machines.
7: Partially Supervised Text Categorization.
8: Image Classification and Retrieval with Mining Technologies.
9: Improving Techniques for Naïve Bayes Text Classifiers.
10: Using the Text Categorization Framework for Protein Classification.
11: Featureless Data Clustering.
12: Swarm Intelligence in Text Document Clustering.
13: Some Efficient and Fast Approaches to Document Clustering.
14: SOM-Based Clustering of Textual Documents Using WordNet.
15: A Multi-Agent Neural Network System for Web Text Mining.
16: Database, Ontology, and the Web.
17: Frequent Mining on XML Documents.
18: The Process and Application of XML Data Mining.
19: Approximate Range Querying over Sliding Windows.
20: Slicing and Dicing A Linguistic Data Cube.
21: Discovering Personalized Novel Knowledge from Text.
22: Untangling BioOntologies for Mining Biomedical Information.
23: Thesaurus-Based Automatic Indexing.
24: Concept-Based Text Mining.
25: Statistical Methods for User Profiling in Web Usage Mining.
26: Web Mining to Identify People of Similar Background.
27: Hyperlink Structure Inspired by Web Usage.
28: Designing and Mining Web Applications: A Conceptual Modeling Approach.
29: Web Usage Mining for Ontology Management.
30: A Lattice-Based Framework for Interactively and Incrementally Mining Web Traversal Patterns.
31: Privacy-Preserving Data Mining on the Web: Foundations and Techniques.
32: Information Retrieval and Extraction.
33: Automatic Reference Tracking.
34: Determination of Unithood and Termhood for Term Recognition.
35: Retrieving Non-Latin Information in a Latin Web: The Case of Greek.
36: Latent Semantic Analysis and Beyond.
37: Question Answering using Word Associations.
38: The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining.
39: Application and Survey.
40: Text Mining in Program Code.
41: A Study of Friendship Networks and Blogosphere.
42: An HL7-Aware Decision Support System for E-Health.
43: Multitarget Classifiers for Mining in Bioinformatics.
44: Current Issues and Future Analysis in Text Mining for Information Security Applications.
45: Collaborative Filtering Based Recommendation Systems.
46: Performance Evaluation Measures for Text Mining.
47: Text Mining in Bioinformatics: Research and Application.
48: Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics: Finding the Right Information for Consumer's Health Information Need.
49: A Survey of Selected Software Technologies for Text Mining.
50: Application of Text Mining Methodologies to Health Insurance Schedules.
51: Web Mining System for Mobile-Phone Marketing.
52: Web Service Architectures for Text Mining: An Exploration of the Issues via an E-Science Demonstrator.
About the Contributors.