Advances in Web Intelligence and Data Mining

✍ Scribed by Syed Toufeeq Ahmed, Srinivas Vadrevu, Hasan Davulcu (auth.), Mark Last, Piotr S. Szczepaniak, Zeev Volkovich, Abraham Kandel (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2006
• Tongue: English
• Leaves: 349
• Series: Studies in Computational Intelligence 23
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

DataRover: An Automated System for Extracting Product Information From Online Catalogs....Pages 1-10
A New Path Generalization Algorithm for HTML Wrapper Induction....Pages 11-20
Trustworthiness Measurement Methodology for e-Business....Pages 21-30
Routing Using Messengers in Sparse and Disconnected Mobile Sensor Networks....Pages 31-40
Content Consistency Model for Pervasive Internet Access....Pages 41-50
Content Description Model and Framework for Efficient Content Distribution....Pages 51-60
Exploiting Wikipedia in Integrating Semantic Annotation with Information Retrieval....Pages 61-70
Ontology based Query Rewriting on Integrated XML based Information Systems....Pages 71-80
Visually Exploring Concept-Based Fuzzy Clusters in Web Search Results....Pages 81-90
A Grid Scheduling Optimization Strategy Based on Fuzzy Multi-Attribute Group Decision-Making....Pages 91-100
An Adaptive PC to Mobile Web Contents Transcoding System Based on MPEG-21 Multimedia Framework....Pages 101-110
Recommendation Framework for Online Social Networks....Pages 111-120
Packet Manipulating Based on Zipf’s Distribution to Protect from Attack in P2P Information Retrieval....Pages 121-130
Investigation of the Fuzzy System for the Assessment of Cadastre Operators’ Work....Pages 131-140
DLAIP: A Description Logic Based Approach for Dynamic Semantic Web Services Composition....Pages 141-150
Adding Support to User Interaction in Egovernment Environment....Pages 151-160
Using Consensus Methodology in Processing Inconsistency of Knowledge....Pages 161-170
Creating Synthetic Temporal Document Collections for Web Archive Benchmarking....Pages 171-180
Predicting Stock Trends with Time Series Data Mining and Web Content Mining....Pages 181-190
CatS: A Classification-Powered Meta-Search Engine....Pages 191-200
A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web....Pages 201-210
A Dynamic Generation Algorithm for Meta Process in Intelligent Platform of Virtual Travel Agency....Pages 211-219
Linguistic Summaries of Standardized Documents....Pages 221-232
A Web-knowledge-based Clustering Model for Gene Expression Data Analysis....Pages 233-242
Estimations of Similarity in Formal Concept Analysis of Data with Graded Attributes....Pages 243-252
Kernels for the Relevance Vector Machine - An Empirical Study....Pages 253-263
A Decision-Tree Framework for Instance-space Decomposition....Pages 265-274
On prokaryotes’ clustering based on curvature distribution....Pages 275-284
Look-Ahead Mechanism Integration in Decision Tree Induction Models....Pages 285-294
Feature Selection by Combining Multiple Methods....Pages 295-304
Clustering and Classification of Textual Documents Based on Fuzzy Quantitative Similarity Measure — a Practical Evaluation....Pages 305-317
Oriented k -windows: A PCA driven clustering method....Pages 319-328
A cluster stability criteria based on the two-sample test concept....Pages 329-338

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)