Foreword |
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xxxiii | |
Preface |
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xxxiv | |
Acknowledgment |
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xxxv | |
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Section I
Document Preprocessing |
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On Document Representation and Term Weights in Text Classification |
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1 | (22) |
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Deriving Document
Keyphrases for Text Mining |
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23 | (14) |
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Intelligent Text Mining: Putting Evolutionary Methods and Language Technologies Together |
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37 | (24) |
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Section II Classification
and Clustering |
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Automatic Syllabus Classification Using Support Vector Machines |
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61 | (14) |
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Partially Supervised Text Categorization |
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75 | (21) |
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Image Classification and Retrieval
with Mining Technologies |
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96 | (15) |
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Improving
Techniques for Naive Bayes Text Classifiers |
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111 | (17) |
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Using the Text Categorization Framework for Protein Classification |
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128 | (13) |
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Featureless Data Clustering |
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141 | (24) |
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Swarm Intelligence in Text Document Clustering |
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165 | (16) |
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Some Efficient and Fast Approaches to Document Clustering |
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181 | (8) |
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SOM-Based Clustering of Textual Documents Using WordNet |
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189 | (12) |
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A Multi-Agent Neural Network System for Web Text Mining |
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201 | (26) |
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Section III Database, Ontology, and the Web |
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Frequent Mining on XML Documents |
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227 | (22) |
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The
Process and Application of XML Data Mining |
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249 | (24) |
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Approximate Range Querying over Sliding Windows |
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273 | (15) |
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Slicing and Dicing a Linguistic
Data Cube |
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288 | (13) |
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Discovering Personalized Novel Knowledge from Text |
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301 | (13) |
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Untangling
BioOntologies for Mining Biomedical Information |
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314 | (17) |
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Thesaurus-Based Automatic Indexing |
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331 | (15) |
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Concept-Based Text Mining |
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346 | (13) |
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Jose Palazzo M. de Oliveira |
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Statistical Methods for User Profiling in Web Usage Mining |
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359 | (10) |
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Web
Mining to Identify People of Similar Background |
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369 | (17) |
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Hyperlink Structure Inspired by Web Usage |
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386 | (15) |
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Designing
and Mining Web Applications: A Conceptual Modeling Approach |
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401 | (17) |
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Web Usage Minig for Ontology
Management |
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418 | (30) |
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A Lattice-Based Framework for
Interactively and Incrementally Mining Web Traversal Patterns |
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448 | (20) |
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Privacy-Preserving Data Mining on the Web: Foundations and
Techniques |
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468 | (15) |
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Section IV Information Retrieval and Extraction |
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Automatic Reference Tracking |
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483 | (17) |
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Determination
of Unithood and Termhood for Term Recognition |
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500 | (30) |
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Retrieving Non-Latin Information in a Latin Web: The Case of Greek |
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530 | (16) |
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Latent Semantic Analysis
and Beyond |
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546 | (25) |
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Question Answering Using Word
Associations |
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571 | (33) |
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The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining |
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604 | (22) |
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Section V Application and Survey |
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Text Mining in Program Code |
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626 | (20) |
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A Study of Friendship Networks and Blogosphere |
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646 | (24) |
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An HL7-Aware Decision Support
System for E-Health |
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670 | (14) |
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Multitarget Classifiers for Mining in Bioinformatics |
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684 | (10) |
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Current Issues and Future Analysis in Text Mining for Information
Security Applications |
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694 | (14) |
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Collaborative Filtering Based Recommendation Systems |
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708 | (16) |
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Performance Evaluation Measures for Text Mining |
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724 | (24) |
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Text Mining in Bioinformatics: Research and Application |
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748 | (10) |
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Literature Review in Computational Linguistics
Issues in the Developing Field of Consumer Informatics: Finding the Right Information for Consumer's Health Information Need |
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758 | (8) |
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A Survey of Selected
Software Technologies for Text Mining |
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766 | (19) |
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Application of Text Mining Methodologies to Health Insurance Schedules |
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785 | (22) |
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Web Mining System for Mobile-Phone Marketing |
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807 | (15) |
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Web Service Architectures for Text Mining: An Exploration
of the Issues via an E-Science Demonstrator |
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822 | |
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