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Handbook of Research on Text and Web Mining Technologies - 
      Min Song
    
      Yi-Fang Brook Wu

Handbook of Research on Text and Web Mining Technologies

Min Song (Redaktør) ; Yi-Fang Brook Wu (Redaktør)

The massive daily overflow of electronic data to information seekers creates the need for better ways to digest and organize this information to make it understandable and useful. Text mining, a variation of data mining, extracts desired information from large, unstructured text collections stored in electronic forms. Les mer
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Vår pris: 5260,-

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Leveringstid: Sendes innen 7 virkedager

The massive daily overflow of electronic data to information seekers creates the need for better ways to digest and organize this information to make it understandable and useful. Text mining, a variation of data mining, extracts desired information from large, unstructured text collections stored in electronic forms.""The Handbook of Research on Text and Web Mining Technologies"" is the first comprehensive reference to the state of research in the field of text mining, serving a pivotal role in educating practitioners in the field. This compendium of pioneering studies from leading experts is essential to academic reference collections and introduces researchers and students to cutting-edge techniques for gaining knowledge discovery from unstructured text.This title features 47 authoritative contributions by over 80 of the world's leading experts in text and Web mining technologies from 16 countries. It presents a comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field. It contains more than 1,000 references to existing literature and research on text and Web mining technologies. It also presents a compendium of over 270 key terms with detailed definitions. The title is organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals. It offers cross-referencing of key terms, figures, and information pertinent to text and Web mining technologies.
FAKTA
Utgitt:
Forlag: Information Science Reference
Innbinding: Innbundet
Språk: Engelsk
ISBN: 9781599049908
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Forewordxxxiii
Prefacexxxiv
Acknowledgmentxxxv




Volume I





Section I Document Preprocessing





On Document Representation and Term Weights in Text Classification

1(22)




Ying Liu





Deriving Document Keyphrases for Text Mining

23(14)




Yi-fang Brook Wu





Quanzhi Li





Intelligent Text Mining: Putting Evolutionary Methods and Language Technologies Together

37(24)




John Atkinson





Section II Classification and Clustering





Automatic Syllabus Classification Using Support Vector Machines

61(14)




Xiaoyan Yu





Manas Tungare





Weigo Yuan





Yubo Yuan





Manuel Perez-Quinones





Edward A. Fox





Partially Supervised Text Categorization

75(21)




Xiao-Li Li





Image Classification and Retrieval with Mining Technologies

96(15)




Yu-Jin Zhang





Improving Techniques for Naive Bayes Text Classifiers

111(17)




Han-joon Kim





Using the Text Categorization Framework for Protein Classification

128(13)




Ricco Rakotomalala





Faouzi Mhamdi





Featureless Data Clustering

141(24)




Wilson Wong





Wei Liu





Mohammed Bennamoun





Swarm Intelligence in Text Document Clustering

165(16)




Xiaohui Cui





Thomas E. Potok





Some Efficient and Fast Approaches to Document Clustering

181(8)




P. Viswanth





Bidyut Kr. Patra





V. Suresh Babu





SOM-Based Clustering of Textual Documents Using WordNet

189(12)




Abdelmalek Amine





Zakaria Elberrichi





Michel Simonet





Ladjel Bellatreche





Mimoun Malki





A Multi-Agent Neural Network System for Web Text Mining

201(26)




Lean Yu





Shouyang Wang





Kin Keung Lai





Section III Database, Ontology, and the Web





Frequent Mining on XML Documents

227(22)




Sangeetha Kutty





Richi Nayak





The Process and Application of XML Data Mining

249(24)




Richi Nayak





Approximate Range Querying over Sliding Windows

273(15)




Francesco Buccafurri





Gianluca Caminiti





Gianluca Lax





Slicing and Dicing a Linguistic Data Cube

288(13)




Jan H. Kroeze





Theo J. D. Bothma





Machdel C. Matthee





Discovering Personalized Novel Knowledge from Text

301(13)




Yi-fang Brook Wu





Xin Chen





Untangling BioOntologies for Mining Biomedical Information

314(17)




Catia Pesquita





Daniel Faria





Tiago Grego





Francisco M. Couto





Mario J. Silva





Thesaurus-Based Automatic Indexing

331(15)




Luis M. de Campos





Juan M. Fernandez-Luna





Juan F. Huete





Alfonso E. Romero





Concept-Based Text Mining

346(13)




Stanley Loh





Leandro Krug Wives





Daniel Lichtnow





Jose Palazzo M. de Oliveira





Statistical Methods for User Profiling in Web Usage Mining

359(10)




Marcello Pecoraro





Roberta Siciliano





Web Mining to Identify People of Similar Background

369(17)




Quanzhi Li





Yi-fang Brook Wu





Hyperlink Structure Inspired by Web Usage

386(15)




Pawan Lingras





Rucha Lingras





Designing and Mining Web Applications: A Conceptual Modeling Approach

401(17)




Rosa Meo





Maristella Matera





Volume II





Web Usage Minig for Ontology Management

418(30)




Brigitte Trousse





Marie-Aude Aufaure





Benedicte Le Grand





Yves Lechevallier





Florent Masseglia





A Lattice-Based Framework for Interactively and Incrementally Mining Web Traversal Patterns

448(20)




Yue-Shi Lee





Show-Jane Yen





Privacy-Preserving Data Mining on the Web: Foundations and Techniques

468(15)




Stanley R.M. Oliverira





Osmar R. Zaiane





Section IV Information Retrieval and Extraction





Automatic Reference Tracking

483(17)




G.S. Mahalakshmi





S. Sendhilkumar





Determination of Unithood and Termhood for Term Recognition

500(30)




Wilson Wong





Wei Liu





Mohammed Bennamoun





Retrieving Non-Latin Information in a Latin Web: The Case of Greek

530(16)




Fotis Lazarinis





Latent Semantic Analysis and Beyond

546(25)




Anne Kao





Steve Poteet





Jason Wu





William Ferng





Rod Tjoelker





Lesley Quach





Question Answering Using Word Associations

571(33)




Ganesh Ramakrishnan





Pushpak Bhattacharyya





The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining

604(22)




Giuseppe Manco





Riccardo Ortale





Andrea Tagarelli





Section V Application and Survey





Text Mining in Program Code

626(20)




Alexander Dreweke





Ingrid Fischer





Tobias Werth





Marc Worlein





A Study of Friendship Networks and Blogosphere

646(24)




Nitin Agarwal





Huan Liu





Jianping Zhang





An HL7-Aware Decision Support System for E-Health

670(14)




Pasquale De Meo





Giovanni Quattrone





Domenico Ursino





Multitarget Classifiers for Mining in Bioinformatics

684(10)




Diego Liberati





Current Issues and Future Analysis in Text Mining for Information Security Applications

694(14)




Shuting Xu





Xin Luo





Collaborative Filtering Based Recommendation Systems

708(16)




E. Thirumaran





M. Narasimha Murty





Performance Evaluation Measures for Text Mining

724(24)




Hanna Suominen





Sampo Pyysalo





Marketta Hiissa





Filip Ginter





Shuhua Liu





Dorina Marghescu





Tapio Pahikkala





Barbro Back





Helena Karsten





Tapio Salakoski





Text Mining in Bioinformatics: Research and Application

748(10)




Yanliang Qi





Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics: Finding the Right Information for Consumer's Health Information Need

758(8)




Ki Jung Lee





A Survey of Selected Software Technologies for Text Mining

766(19)




Richard S. Segall





Qingyu Zhang





Application of Text Mining Methodologies to Health Insurance Schedules

785(22)




Ah Chung Tsoi





Phuong Kim To





Markus Hagenbuchner





Web Mining System for Mobile-Phone Marketing

807(15)




Miao-Ling Wang





Hsiao-Fan Wang





Web Service Architectures for Text Mining: An Exploration of the Issues via an E-Science Demonstrator

822




Neil Davis





George Demetriou





Robert Gaizauskas





Yikun Guo





Ian Roberts

Min Song, Old Dominion University, USA. Yi-Fang Brook Wu, New Jersey Institute of Technology, USA.