Knowledge-Based Information Retrieval and Filtering from the Web / Edition 1

Knowledge-Based Information Retrieval and Filtering from the Web / Edition 1

by Witold Abramowicz
     
 

The book overviews several stochastic adaptive search methods for global optimization and provides analytical results regarding their performance and complexity. It develops a class of hit-and-run algorithms that are theoretically motivated and do not require fine-tuning of parameters. Several engineering global optimization problems are summarized to demonstrate

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Overview

The book overviews several stochastic adaptive search methods for global optimization and provides analytical results regarding their performance and complexity. It develops a class of hit-and-run algorithms that are theoretically motivated and do not require fine-tuning of parameters. Several engineering global optimization problems are summarized to demonstrate the kinds of practical problems that are now within reach.

Product Details

ISBN-13:
9781402075230
Publisher:
Springer US
Publication date:
09/30/2003
Series:
The Springer International Series in Engineering and Computer Science, #746
Edition description:
2003
Pages:
303
Product dimensions:
9.21(w) x 6.14(h) x 0.75(d)

Meet the Author

Table of Contents

Preface
Contributing authors
Ch. 1Towards an Ontological Representation of Knowledge on the Web1
Ch. 2Advances in Information Extraction23
Ch. 3Information Retrieval and Administration of Distributed Documents in Internet53
Ch. 4Hard and Soft Modelling Based Knowledge Capture for Information Flow Management75
Ch. 5Summarization of Texts Found on the World Wide Web101
Ch. 6Model of User Profiles and Personalization for Web-based Information Retrieval System121
Ch. 7An open, decentralised architecture for searching for, and publishing, information in distributed systems137
Ch. 8Information Retrieval under Constricted Bandwidth153
Ch. 9Multilingual WWW165
Ch. 10Generic Hierarchical Classification Using the Single-Link Clustering185
Ch. 11Clustering of Documents on the Basis of Text Fuzzy Similarity219
Ch. 12Intelligent Agents for Document Categorization and Adaptive Filtering Using a Neural Network Approach and Fuzzy Logic231
Ch. 13The Virtual Boutique: Multimedia Retrieval and Data Mining for E-commerce and E-business in the framework of a virtual environment251
Ch. 14A Web-based approach to Competitive Intelligence269
Ch. 15Learning Ontologies for Domain-Specific Information Retrieval285

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