Intelligent Agents for Data Mining and Information Retrieval [Mohammadian 2003-07-01](1).pdf

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Intelligent Agents for
Data Mining and
Information Retrieval
Masoud Mohammadian
University of Canberra, Australia
IDEA GROUP PUBLISHING
Hershey • London • Melbourne • Singapore
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Published in the United States of America by
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Copyright © 2004 by Idea Group Inc. All rights reserved. No part of this book may be
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ing, without written permission from the publisher.
Library of Congress Cataloging-in-Publication Data
Intelligent agents for data mining and information retrieval / Masoud
Mohammadian, editor.
p. cm.
ISBN 1-59140-194-1 (hardcover) -- ISBN 1-59140-277-8 (pbk.) -- ISBN
1-59140-195-X (ebook)
1. Database management. 2. Data mining. 3. Intelligent agents
(Computer software). I. Mohammadian, Masoud.
QA76.9.D3I5482 2004
006.3'12--dc22
2003022613
British Cataloguing in Publication Data
A Cataloguing in Publication record for this book is available from the British Library.
All work contributed to this book is new, previously-unpublished material. The views
expressed in this book are those of the authors, but not necessarily of the publisher.
Intelligent Agents for
Data Mining and
Information Retrieval
Table of Contents
Preface ................................................................................................. vii
Chapter I.
Potential Cases, Database Types, and Selection Methodologies for
Searching Distributed Text Databases ................................................ 1
Hui Yang, University of Wollongong, Australia
Minjie Zhang, University of Wollongong, Australia
Chapter II.
Computational Intelligence Techniques Driven Intelligent Agents
for Web Data Mining and Information Retrieval .............................. 15
Masoud Mohammadian, University of Canberra, Australia
Ric Jentzsch, University of Canberra, Australia
Chapter III.
A Multi-Agent Approach to Collaborative Knowledge Production ... 31
Juan Manuel Dodero, Universidad Carlos III de Madrid, Spain
Paloma Díaz, Universidad Carlos III de Madrid, Spain
Ignacio Aedo, Universidad Carlos III de Madrid, Spain
Chapter IV.
Customized Recommendation Mechanism Based on Web Data
Mining and Case-Based Reasoning ................................................... 47
Jin Sung Kim, Jeonju University, Korea
Chapter V.
Rule-Based Parsing for Web Data Extraction ................................... 65
David Camacho, Universidad Carlos III de Madrid, Spain
Ricardo Aler, Universidade Carlos III de Madrid, Spain
Juan Cuadrado, Universidad Carlos III de Madrid, Spain
Chapter VI.
Multilingual Web Content Mining: A User-Oriented Approach ....... 88
Rowena Chau, Monash University, Australia
Chung-Hsing Yeh, Monash University, Australia
Chapter VII.
A Textual Warehouse Approach: A Web Data Repository ............ 101
Kaïs Khrouf, University of Toulouse III, France
Chantal Soulé-Dupuy, University of Toulouse III, France
Chapter VIII.
Text Processing by Binary Neural Networks .................................. 125
T. Beran, Czech Technical University, Czech Republic
T. Macek, Czech Technical University, Czech Republic
Chapter IX.
Extracting Knowledge from Databases and ANNs with Genetic
Programming: Iris Flower Classification Problem ........................... 137
Daniel Rivero, University of A Coruña, Spain
Juan R. Rabuñal, University of A Coruña, Spain
Julián Dorado, University of A Coruña, Spain
Alejandro Pazos, University of A Coruña, Spain
Nieves Pedreira, University of A Coruña, Spain
Chapter X.
Social Coordination with Architecture for Ubiquitous Agents —
CONSORTS ...................................................................................... 154
Koichi Kurumatani, AIST, Japan

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