Advances in web intelligence and data mining /

Advances in web intelligence and data mining /

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Bibliographic Details
Imprint:Berlin : Springer, 2006.
Description:1 online resource (xv, 338 pages) : figure, table.
Language:English
Series:Studies in computational intelligence, 1860-949X ; v. 23
Studies in computational intelligence ; v. 23.
Subject:
Data mining -- Congresses.
World Wide Web -- Congresses.
Data mining.
World Wide Web.
Conference papers and proceedings.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11068822
Hidden Bibliographic Details
ISBN:9783540338802
3540338802
3540338799
9783540338796
Notes:Includes bibliographical references.
Restrictions unspecified
Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212
digitized 2010 HathiTrust Digital Library committed to preserve
Print version record.
Summary:The Internet has become a major communication medium, where virtually any kind of content can be transferred instantly and reliably between individual users and entire organizations located in any part of the globe. Consequently, more effective and efficient methods and technologies are needed to make the most of the Web's nearly unlimited potential. The new Web-related research directions include intelligent methods usually associated with the fields of computational intelligence, soft computing, and data mining. This book presents state-of-the-art developments in the area of computationally intelligent methods applied to various aspects and ways of Web exploration and Web mining. Some novel data mining algorithms that can lead to more effective and intelligent Web-based systems are also described. Scientists, engineers, and research students are expected to find many inspiring ideas in this volume.
Other form:Print version: Advances in web intelligence and data mining. Berlin : Springer, 2006 3540338799 9783540338796
Table of Contents:
  • 1
  • DataRover: An Automated System for Extracting Product Information From Online Catalogs
  • A New Path Generalization Algorithm for HTML Wrapper Induction
  • Trustworthiness Measurement Methodology for e-Business
  • Routing Using Messengers in Sparse and Disconnected Mobile Sensor Networks
  • Content Consistency Model for Pervasive Internet Access
  • Content Description Model and Framework for Efficient Content Distribution
  • Exploiting Wikipedia in Integrating Semantic Annotation with Information Retrieval
  • Ontology based Query Rewriting on Integrated XML based Information Systems
  • Visually Exploring Concept-Based Fuzzy Clusters in Web Search Results
  • A Grid Scheduling Optimization Strategy Based on Fuzzy Multi-Attribute Group Decision-Making
  • An Adaptive PC to Mobile Web Contents Transcoding System Based on MPEG-21 Multimedia Framework
  • Recommendation Framework for Online Social Networks
  • Packet Manipulating Based on Zipf{u2019}s Distribution to Protect from Attack in P2P Information Retrieval
  • Investigation of the Fuzzy System for the Assessment of Cadastre Operators{u2019} Work
  • DLAIP: A Description Logic Based Approach for Dynamic Semantic Web Services Composition
  • Adding Support to User Interaction in Egovernment Environment
  • Using Consensus Methodology in Processing Inconsistency of Knowledge
  • Creating Synthetic Temporal Document Collections for Web Archive Benchmarking
  • Predicting Stock Trends with Time Series Data Mining and Web Content Mining
  • CatS: A Classification-Powered Meta-Search Engine
  • A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web
  • A Dynamic Generation Algorithm for Meta Process in Intelligent Platform of Virtual Travel Agency
  • Linguistic Summaries of Standardized Documents
  • A Web-knowledge-based Clustering Model for Gene Expression Data Analysis
  • 2
  • Estimations of Similarity in Formal Concept Analysis of Data with Graded Attributes
  • Kernels for the Relevance Vector Machine
  • An Empirical Study
  • A Decision-Tree Framework for Instance-space Decomposition
  • On prokaryotes{u2019} clustering based on curvature distribution
  • Look-Ahead Mechanism Integration in Decision Tree Induction Models
  • Feature Selection by Combining Multiple Methods
  • Clustering and Classification of Textual Documents Based on Fuzzy Quantitative Similarity Measure {u2014} a Practical Evaluation
  • Oriented k-windows: A PCA driven clustering method
  • A cluster stability criteria based on the two-sample test concept.

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