Intelligent agents for data mining and information retrieval

Title:

Personal Author:

Masoud Mohammadian

Publication Information:

Hershey, PA : Idea Group Pub., 2004.

ISBN:

9781591401940

Subject Term:

Database management

Data mining

Intelligent agents (Computer software)

Added Author:

Mohammadian, Masoud

Available:*

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010100573	QA76.9.D3 I54 2004	Open Access Book	Book	Searching... Unknown
Searching... SPACE Kulim Library	30000010081751	QA 76.9 .D3 I 54 2004	Open Access Book	Book	Searching... Unknown

Summary

This work discusses the foundation as well as the practical side of intelligent agents and their theory and applications for web data mining and information retrieval.

Choice Review

This compilation of papers describes current research into intelligence agents and their current applications to information gathering. The book is an overview of recent studies in this field, bringing together worldwide research on intelligence agents. Papers discuss a wide number of areas where intelligent agents are being utilized, from e-learning systems to Web data mining. However, many of the papers focus on Web-based data and information retrieval. Reading this book offers a glimmer of the great potential of intelligence agents present in helping users manage "information overload." However, the overall level and language of the book is intimidating to the average reader. Although there are some practical examples of the use of intelligent agents, it is an extremely theoretical look into the topic. As a result, it is only appropriate for students or researchers within the field of intelligent agents, data mining, or information retrieval. ^BSumming Up: Recommended. Graduate students; faculty. K. A. Coombs SUNY College at Cortland

Hui Yang and Minjie ZhangMasoud Mohammadian and Ric JentzschJuan Manuel Dodero and Paloma Diaz and Ignacio AedoJin Sung KimDavid Camacho and Ricardo Aler and Juan CuadradoRowena Chau and Chung-Hsing YehKais Khrouf and Chantal Soule-DupuyT. Beran and T. MacekDaniel Rivero and Juan R. Rabunal and Julian Dorado and Alejandro Pazos and Nieves PedreiraKoichi KurumataniA. Andreevskaia and R. Abi-Aad and T. RadhakrishnanShinichi Nagano and Yasuyuki Tahara and Tetsuo Hasegawa and Akihiko OhsugaSamhaa R. El-Baltagy and Ahmed Rafea and Yasser AbdelhamidShanfeng Zhu and Xiaotie Deng and Qizhi Fang and Weimin ZhengS. Vrettos and A. StafylopatisWei Lai and Maolin Huang and Kang ZhangHong Shi and Ji-Fu ZhangJon T.S. Quah and Y.M. Chen and Winnie C.H. Leow

Preface	p. vii
Chapter I. Potential Cases, Database Types, and Selection Methodologies for Searching Distributed Text Databases	p. 1
Chapter II. Computational Intelligence Techniques Driven Intelligent Agents for Web Data Mining and Information Retrieval	p. 15
Chapter III. A Multi-Agent Approach to Collaborative Knowledge Production	p. 31
Chapter IV. Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning	p. 47
Chapter V. Rule-Based Parsing for Web Data Extraction	p. 65
Chapter VI. Multilingual Web Content Mining: A User-Oriented Approach	p. 88
Chapter VII. A Textual Warehouse Approach: A Web Data Repository	p. 101
Chapter VIII. Text Processing by Binary Neural Networks	p. 125
Chapter IX. Extracting Knowledge from Databases and ANNs with Genetic Programming: Iris Flower Classification Problem	p. 137
Chapter X. Social Coordination with Architecture for Ubiquitous Agents--Consorts	p. 154
Chapter XI. Agent-Mediated Knowledge Acquisition for User Profiling	p. 164
Chapter XII. Development of Agent-Based Electronic Catalog Retrieval System	p. 188
Chapter XIII. Using Dynamically Acquired Background Knowledge for Information Extraction and Intelligent Search	p. 196
Chapter XIV. A Study on Web Searching: Overlap and Distance of the Search Engine Results	p. 208
Chapter XV. Taxonomy Based Fuzzy Filtering of Search Results	p. 226
Chapter XVI. Generating and Adjusting Web Sub-Graph Displays for Web Navigation	p. 241
Chapter XVII. An Algorithm of Pattern Match Being Fit for Mining Association Rules	p. 254
Chapter XVIII. Networking E-Learning Hosts Using Mobile Agents	p. 263
About the Authors	p. 295
Index	p. 305

Available:*

On Order

Summary

Summary

Reviews 1

Choice Review

Table of Contents