Data Mining Patterns_ New Methods and Applications [Poncelet, Teisseire & Masseglia 2007-08-27](1).pdf

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Data Mining Patterns:
New Methods and
Applications
Pascal Poncelet
Maguelonne Teisseire
Florent Masseglia
Information Science Reference
Data Mining Patterns:
Pascal Poncelet
Ecole des Mines d’Ales, France
Maguelonne Teisseire
Université Montpellier, France
Florent Masseglia
Inria, France
New Methods and Applications
InformatIon scIence reference
Hershey • New York
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Library of Congress Cataloging-in-Publication Data
Data mining patterns : new methods and applications / Pascal Poncelet, Florent Masseglia & Maguelonne Teisseire, editors.
p. cm.
Summary: "This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks
and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world
applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional
pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher.
Includes bibliographical references and index.
ISBN 978-1-59904-162-9 (hardcover) -- ISBN 978-1-59904-164-3 (ebook)
1. Data mining. I. Poncelet, Pascal. II. Masseglia, Florent. III. Teisseire, Maguelonne.
QA76.9.D343D3836 2007
005.74--dc22
2007022230
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All work contributed to this book set is new, previously-unpublished material. The views expressed in this book are those of the authors, but
not necessarily of the publisher.
Table of Contents
Preface
................................................................................................................................................... x
Acknowledgment
............................................................................................................................... xiv
Chapter I
Metric Methods in Data Mining /
Dan A. Simovici ................................................................................
1
Chapter II
Bi-Directional Constraint Pushing in Frequent Pattern Mining
/ Osmar R. Zaïane
and Mohammed El-Hajj........................................................................................................................
32
Chapter III
Mining Hyperclique Patterns: A Summary of Results
/ Hui Xiong, Pang-Ning Tan,
Vipin Kumar, and Wenjun Zhou ............................................................................................................
57
Chapter IV
Pattern Discovery in Biosequences: From Simple to Complex Patterns
/
Simona Ester Rombo and Luigi Palopoli..............................................................................................
85
Chapter V
Finding Patterns in Class-Labeled Data Using Data Visualization
/ Gregor Leban,
Minca Mramor, Blaž Zupan, Janez Demšar, and Ivan Bratko
............................................................
106
Chapter VI
Summarizing Data Cubes Using Blocks
/ Yeow Choong, Anne Laurent, and
Dominique Laurent .............................................................................................................................
124
Chapter VII
Social Network Mining from the Web
/ Yutaka Matsuo, Junichiro Mori, and
Mitsuru Ishizuka..................................................................................................................................
149
Chapter VIII
Discovering Spatio-Textual Association Rules in Document Images
/
Donato Malerba, Margherita Berardi, and Michelangelo Ceci .........................................................
176
Chapter IX
Mining XML Documents
/ Laurent Candillier, Ludovic Denoyer, Patrick Gallinari
Marie Christine Rousset, Alexandre Termier, and Anne-Marie Vercoustre ........................................
198
Chapter X
Topic and Cluster Evolution Over Noisy Document Streams
/ Sascha Schulz,
Myra Spiliopoulou, and Rene Schult ..................................................................................................
220
Chapter XI
Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership
Models and the Issue of Model Choice
/ Cyrille J. Joutard, Edoardo M. Airoldi,
Stephen E. Fienberg, and Tanzy M. Love
............................................................................................
240
Compilation of References
.............................................................................................................. 276
About the Contributors
................................................................................................................... 297
Index
................................................................................................................................................... 305

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