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Advances in web intelligence and data mining

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Cover of 'Advances in web intelligence and data mining'

Table of Contents

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    Book Overview
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    Chapter 1 DataRover: An Automated System for Extracting Product Information From Online Catalogs
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    Chapter 2 A New Path Generalization Algorithm for HTML Wrapper Induction
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    Chapter 3 Trustworthiness Measurement Methodology for e-Business
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    Chapter 4 Routing Using Messengers in Sparse and Disconnected Mobile Sensor Networks
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    Chapter 5 Content Consistency Model for Pervasive Internet Access
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    Chapter 6 Content Description Model and Framework for Efficient Content Distribution
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    Chapter 7 Exploiting Wikipedia in Integrating Semantic Annotation with Information Retrieval
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    Chapter 8 Ontology based Query Rewriting on Integrated XML based Information Systems
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    Chapter 9 Visually Exploring Concept-Based Fuzzy Clusters in Web Search Results
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    Chapter 10 A Grid Scheduling Optimization Strategy Based on Fuzzy Multi-Attribute Group Decision-Making
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    Chapter 11 An Adaptive PC to Mobile Web Contents Transcoding System Based on MPEG-21 Multimedia Framework
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    Chapter 12 Recommendation Framework for Online Social Networks
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    Chapter 13 Packet Manipulating Based on Zipf’s Distribution to Protect from Attack in P2P Information Retrieval
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    Chapter 14 Advances in Web Intelligence and Data Mining
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    Chapter 15 DLAIP: A Description Logic Based Approach for Dynamic Semantic Web Services Composition
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    Chapter 16 Adding Support to User Interaction in Egovernment Environment
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    Chapter 17 Using Consensus Methodology in Processing Inconsistency of Knowledge
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    Chapter 18 Creating Synthetic Temporal Document Collections for Web Archive Benchmarking
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    Chapter 19 Predicting Stock Trends with Time Series Data Mining and Web Content Mining
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    Chapter 20 CatS: A Classification-Powered Meta-Search Engine
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    Chapter 21 A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web
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    Chapter 22 A Dynamic Generation Algorithm for Meta Process in Intelligent Platform of Virtual Travel Agency
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    Chapter 23 Linguistic Summaries of Standardized Documents
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    Chapter 24 A Web-knowledge-based Clustering Model for Gene Expression Data Analysis
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    Chapter 25 Estimations of Similarity in Formal Concept Analysis of Data with Graded Attributes
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    Chapter 26 Kernels for the Relevance Vector Machine - An Empirical Study
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    Chapter 27 A Decision-Tree Framework for Instance-space Decomposition
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    Chapter 28 On prokaryotes’ clustering based on curvature distribution
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    Chapter 29 Look-Ahead Mechanism Integration in Decision Tree Induction Models
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    Chapter 30 Feature Selection by Combining Multiple Methods
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    Chapter 31 Clustering and Classification of Textual Documents Based on Fuzzy Quantitative Similarity Measure — a Practical Evaluation
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    Chapter 32 Oriented k -windows: A PCA driven clustering method
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    Chapter 33 A cluster stability criteria based on the two-sample test concept
Overall attention for this book and its chapters
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10 patents

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13 Mendeley
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Title
Advances in web intelligence and data mining
Published by
Springer, September 2006
DOI 10.1007/3-540-33880-2
ISBNs
978-3-54-033879-6, 978-3-54-033880-2
Editors

Mark Last, Piotr S. Szczepaniak, Zeev Volkovich, Abraham Kandel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Brazil 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Professor > Associate Professor 3 23%
Student > Master 2 15%
Student > Doctoral Student 2 15%
Researcher 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 5 38%
Arts and Humanities 1 8%
Mathematics 1 8%
Economics, Econometrics and Finance 1 8%
Physics and Astronomy 1 8%
Other 1 8%
Unknown 3 23%