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9783540200857

Knowledge Discovery in Databases - PKDD 2003 : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 2003 - Proceedings

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  • ISBN13:

    9783540200857

  • ISBN10:

    3540200851

  • Format: Paperback
  • Copyright: 2003-09-01
  • Publisher: Springer Verlag
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Summary

This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.

Author Biography

 This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.

Table of Contents

Invited Papers
From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge
1(8)
Pieter Adriaans
Two-Eyed Algorithms and Problems
9(1)
Leo Breiman
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data
10(6)
Christos Faloutsos
Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions
16(7)
Donald B. Rubin
Contributed Papers
Efficient Statistical Pruning of Association Rules
23(12)
Alan Ableson
Janice Glasgow
Majority Classification by Means of Association Rules
35(12)
Elena Baralis
Paolo Garza
Adaptive Constraint Pushing in Frequent Pattern Mining
47(12)
Francesco Bonchi
Fosca Giannotti
Alessio Mazzanti
Dino Pedreschi
ExAnte: Anticipated Data Reduction in Constrained Pattern Mining
59(12)
Francesco Bonchi
Fosca Giannotti
Alessio Mazzanti
Dino Pedreschi
Minimal k-Free Representations of Frequent Sets
71(12)
Toon Calders
Bart Goethals
Discovering Unbounded Episodes in Sequential Data
83(12)
Gemma Casas-Garriga
Mr-SBC: A Multi-relational Naive Bayes Classifier
95(12)
Michelangelo Ceci
Annalisa Appice
Donato Malerba
SMOTEBoost: Improving Prediction of the Minority Class in Boosting
107(13)
Nitesh V. Chawla
Aleksandar Lazarevic
Lawrence O. Hall
Kevin W. Bowyer
Using Belief Networks and Fisher Kernels for Structured Document Classification
120(12)
Ludovic Denoyer
Patrick Gallinari
A Skeleton-Based Approach to Learning Bayesian Networks from Data
132(12)
Steven van Dijk
Linda C. van der Gaag
Dirk Thierens
On Decision Boundaries of Naive Bayes in Continuous Domains
144(12)
Tapio Elomaa
Juho Rousu
Application of Inductive Logic Programming to Structure-Based Drug Design
156(12)
David P. Enot
Ross D. King
Visualizing Class Probability Estimators
168(12)
Eibe Frank
Mark Hall
Automated Detection of Epidemics from the Usage Logs of a Physicians' Reference Database
180(12)
Jaana Heino
Hannu Toivonen
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations
192(12)
Shoji Hirano
Shusaku Tsumoto
Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications
204(13)
Stefan Holland
Martin Ester
Werner KieBling
Explaining Text Clustering Results Using Semantic Structures
217(12)
Andreas Hotho
Steffen Staab
Gerd Stumme
Analyzing Attribute Dependencies
229(12)
Aleks Jakulin
Ivan Bratko
Ranking Interesting Subspaces for Clustering High Dimensional Data
241(12)
Karin Kailing
Hans-Peter Kriegel
Peer Kroger
Stefanie Wanka
Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases
253(13)
Eamonn Keogh
Using Transduction and Multi-view Learning to Answer Emails
266(12)
Michael Kockelkorn
Andreas Luneburg
Tobias Scheffer
Exploring Fringe Settings of SVMs for Classification
278(13)
Adam Kowalczyk
Bhavani Raskutti
Rule Discovery and Probabilistic Modeling for Onomastic Data
291(12)
Antti Leino
Heikki Mannila
Ritva Liisa Pitkanen
Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions
303(12)
Marion Leleu
Christophe Rigotti
Jean-Francois Boulicaut
Guillaume Euvrard
Symbolic Distance Measurements Based on Characteristic Subspaces
315(12)
Marcus-Christopher Ludl
The Pattern Ordering Problem
327(12)
Taneli Mielikainen
Heikki Mannila
Collaborative Filtering Using Restoration Operators
339(11)
Atsuyoshi Nakamura
Mineichi Kudo
Akira Tanaka
Efficient Frequent Query Discovery in Farmer
350(13)
Siegfried Nijssen
Joost N. Kok
Towards Behaviometric Security Systems: Learning to Identify a Typist
363(12)
Mordechai Nisenson
Ido Yariv
Ran El-Yaniv
Ron Meir
Efficient Density Clustering Method for Spatial Data
375(12)
Fei Pan
Baoying Wang
Yi Zhang
Dongmei Ren
Xin Hu
William Perrizo
Statistical σ-Partition Clustering over Data Streams
387(12)
Nam Hun Park
Won Suk Lee
Enriching Relational Learning with Fuzzy Predicates
399(12)
Henri Prade
Gilles Richard
Mathieu Serrurier
Text Categorisation Using Document Profiling
411(12)
Maximilien Sauban
Bernhard Pfahringer
A Simple Algorithm for Topic Identification in 0-1 Data
423(12)
Jouni K. Seppanen
Ella Bingham
Heikki Mannila
Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents
435(12)
Bernd Thomas
Predicting Outliers
447(12)
Luis Torgo
Rita Ribeiro
Mining Rules of Multi-level Diagnostic Procedure from Databases
459(12)
Shusaku Tsumoto
Learning Characteristic Rules Relying on Quantified Paths
471(12)
Teddy Turmeaux
Ansaf Salleb
Christel Vrain
Daniel Cassard
Topic Learning from Few Examples
483(12)
Huaiyu Zhu
Shivakumar Vaithyanathan
Mahesh V. Joshi
Arbogodai, a New Approach for Decision Trees
495(12)
Djamel A. Zighed
Gilbert Ritschard
Walid Erray
Vasile-Marian Scuturici
Author Index 507

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