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ADVANCES IN DATA
MINING KNOWLEDGE
DISCOVERY AND
APPLICATIONS
Edited by
Adem Karahoca
Advances in Data Mining Knowledge Discovery and Applications
http://dx.doi.org/10.5772/3349
Edited by Adem Karahoca
Contributors
Dost Muhammad Khan, Nawaz Mohamudally, D. K. R. Babajee, Tomas Borovicka, Marcel Jirina
Jr., Pavel Kordik, Marcel Jirina, Carmelo Cassisi, Placido Montalto, Marco Aliotta, Andrea
Cannata, Alfredo Pulvirenti, Fadzilah Siraj, Ehab A. Omer A. Omer, Md. Rajib Hasan,
Mohammad Lutfi Othman, Ishak Aris, Xingping Wen, Xiaofeng Yang, Maria Madalena Dias,
Juliana Keiko Yamaguchi, Emerson Rabelo, Clélia Franco, Kohsuke Yanai, Toshihiko Yanase,
Lilian Freitas, Yomara Pires, Jefferson Morais, João Costa, Aldebaro Klautau, José C. Reston
Filho, Carolina de M. Affonso, Roberto Célio L. de Oliveira, Intan Azmira binti Wan Abdul
Razak, Shah bin Majid, Mohd Shahrieel bin Mohd. Aras, Arfah binti Ahmad, Ghulam Mujtaba
Shaikh, Tariq Mahmood, Matthew Watts, Robert Carrese, Hadi Winarto, R.L.K.Venkateswarlu,
R. Raviteja, R. Rajeev, Gao Jie, Dewan Md. Farid, Mohammad Zahidur Rahman, Chowdhury
Mofizur Rahman, Erdem Alparslan, Adem Karahoca, Dilek Karahoca, Adela Bâra, Ion Lungu
Published by InTech
Janeza Trdine 9, 51000 Rijeka, Croatia
Copyright © 2012 InTech
All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license,
which allows users to download, copy and build upon published articles even for commercial
purposes, as long as the author and publisher are properly credited, which ensures maximum
dissemination and a wider impact of our publications. After this work has been published by
InTech, authors have the right to republish it, in whole or part, in any publication of which they
are the author, and to make other personal use of the work. Any republication, referencing or
personal use of the work must explicitly identify the original source.
Notice
Statements and opinions expressed in the chapters are these of the individual contributors and
not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy
of information contained in the published chapters. The publisher assumes no responsibility for
any damage or injury to persons or property arising out of the use of any materials,
instructions, methods or ideas contained in the book.
Publishing Process Manager
Mirna Cvijic
Typesetting
InTech Prepress, Novi Sad
Cover
InTech Design Team
First published September, 2012
Printed in Croatia
A free online edition of this book is available at www.intechopen.com
Additional hard copies can be obtained from orders@intechopen.com
Advances in Data Mining Knowledge Discovery and Applications,
Edited by Adem Karahoca
p. cm.
ISBN 978-953-51-0748-4
Contents
Preface IX
Section 1
Chapter 1
Knowledge Discovery
1
Towards the Formulation of a Unified Data Mining Theory,
Implemented by Means of Multiagent Systems (MASs) 3
Dost Muhammad Khan, Nawaz Mohamudally and D. K. R. Babajee
Selecting Representative Data Sets 43
Tomas Borovicka, Marcel Jirina Jr., Pavel Kordik and Marcel Jirina
Similarity Measures and Dimensionality
Reduction Techniques for Time Series Data Mining
Carmelo Cassisi, Placido Montalto, Marco Aliotta,
Andrea Cannata and Alfredo Pulvirenti
Chapter 2
Chapter 3
71
Chapter 4
Data Mining and Neural Networks:
The Impact of Data Representation 97
Fadzilah Siraj, Ehab A. Omer A. Omer and Md. Rajib Hasan
Inconsistent Decision System:
Rough Set Data Mining Strategy to Extract Decision
Algorithm of a Numerical Distance Relay – Tutorial 117
Mohammad Lutfi Othman and Ishak Aris
An Unsupervised Classification Method for Hyperspectral
Remote Sensing Image Based on Spectral Data Mining 143
Xingping Wen and Xiaofeng Yang
Visualization Techniques: Which is the Most Appropriate
in the Process of Knowledge Discovery in Data Base? 155
Maria Madalena Dias, Juliana Keiko Yamaguchi,
Emerson Rabelo and Clélia Franco
Analysis and Learning Frameworks
for Large-Scale Data Mining 181
Kohsuke Yanai and Toshihiko Yanase
Chapter 5
Chapter 6
Chapter 7
Chapter 8
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