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Advances in Web Intelligence and Data Mining

Advances in Web Intelligence and Data Mining


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About the Book

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's Distribution to Protect from Attack in P2P Information Retrieval.- Investigation of the Fuzzy System for the Assessment of Cadastre Operators' 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' 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 - 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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Product Details
  • ISBN-13: 9783642070457
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. Softcover of orig. ed. 2006
  • Language: English
  • Returnable: Y
  • Spine Width: 19 mm
  • Width: 156 mm
  • ISBN-10: 3642070450
  • Publisher Date: 17 Nov 2010
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 340
  • Series Title: Studies in Computational Intelligence
  • Weight: 548 gr


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