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9783540441489

Pattern Detection and Discovery: Esf Exploratory Workshop, London, Uk, September 16-19, 2002 : Proceedings

by ; ;
  • ISBN13:

    9783540441489

  • ISBN10:

    3540441484

  • Format: Paperback
  • Copyright: 2002-09-01
  • Publisher: Springer Verlag
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Supplemental Materials

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Summary

This book constitutes the refereed proceedings of an international workshop on Pattern Detection and Discovery organized by the European Science Foundation in London, UK in September 2002.The 17 revised full papers presented were carefully selected and reviewed for inclusion in this state-of-the-art book. Six papers present an introduction and general issues in the emerging field. Four papers are devoted to association rules. Four papers deal with various aspects of text mining and Web mining, and three papers explore advanced applications.

Table of Contents

General Issues
Pattern Detection and Discovery
1(12)
David J. Hand
Detecting Interesting Instances
13(11)
Katharina Morik
Complex Data: Mining Using Patterns
24(12)
Arno Siebes
Zbyszek Struzik
Determining Hit Rate in Pattern Search
36(13)
Richard J. Bolton
David J. Hand
Niall M. Adams
An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes
49(14)
Paul Cohen
Brent Heeringa
Niall Adams
If You Can't See the Pattern, Is It There?
63(14)
Antony Unwin
Association Rules
Dataset Filtering Techniques in Constraint-Based Frequent Pattern Mining
77(15)
Marek Wojciechowski
Maciej Zakrzewicz
Concise Representations of Association Rules
92(18)
Marzena Kryszkiewicz
Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining
110(15)
Baptiste Jeudy
Jean-Francois Boulicaut
Relational Association Rules: Getting WARMeR
125(15)
Bart Goethals
Jan Van den Bussche
Text and Web Mining
Mining Text Data: Special Features and Patterns
140(14)
M. Delgado
M.J. Martin-Bautista
D. Sanchez
M.A. Vila
Modelling and Incorporating Background Knowledge in the Web Mining Process
154(16)
Myra Spiliopoulou
Carsten Pohle
Modeling Information in Textual Data Combining Labeled and Unlabeled Data
170(10)
Dunja Mladenic
Discovery of Frequent Word Sequences in Text
180(10)
Helena Ahonen-Myka
Applications
Pattern Detection and Discovery: The Case of Music Data Mining
190(9)
Pierre- Yves Rolland
Jean-Gabriel Ganascia
Discovery of Core Episodes from Sequences
199(15)
Frank Hoppner
Patterns of Dependencies in Dynamic Multivariate Data
214(13)
Ursula Gather
Roland Fried
Michael Imhoff
Claudia Becker
Author Index 227

Supplemental Materials

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