Principles of Data Mining and Knowledge Discovery: Third European Conference, PKDD'99 Prague, Czech Republic, September 15-18, 1999 Proceedings / Edition 1

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Overview

This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999.
The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.

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Table of Contents

Scaling up Dynamic Time Warping to Massive Dataset
E. J. Keogh, M. J. Pazzani
The Haar Wavelet Transform in the Time Series Similarity Paradigm
Z. R. Struzik, A. Siebes
Rule Discovery in Large Time-Series Medical Databases
S. Tsumoto
Simultaneous Prediction of Multiple Chemical Parameters of River Water Quality with TILDE
H. Blockeel, S. Dzeroski, J. Grbovic
Applying Data Mining Techniques to Wafer Manufacturing
E. Bertino, B. Catania, E. Caglio
An Application of Data Mining to the Problem of the University Students' Dropout Using Markov Chains
S. Massa, P. P. Puliafito
Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDD
G. Masuda, R. Yano, N. Sakamoto, (et al.)
Taxonomy Formation by Approximate Equivalence Relations, Revisited
F. A. El-Mouadib, J. Koronacki, J. M. Zytkow
On the Use of Self-Organizing Maps for Clustering and Visualization
A. Flexer
Speeding Up the Search for Optimal Partitions
T. Elomaa, J. Rousu
Experiments in Meta-level Learning with ILP
L. Todorovski, S. Dzeroski
Boolean Reasoning Scheme with Some Applications in Data Mining
A. Skowron, H. S. Nguyen
On the Correspondence between Classes of Implicational and Equivalence Quantifiers
J. Ivanek
Querying Inductive Databases via Logic-Based User-Defined Aggregates
F. Giannotti, G. Manco
Peculiarity Oriented Multi-database Mining
N. Zhong, Y. Y. Yao, S. Ohsuga
Knowledge Discovery in Medical Multi-databases: A Rough Set Approach
S. Tsumoto
Automated Discovery of Rules and Exceptions from Distributed Databases Using Aggregates
R. Pairceir, S. McClean, B. Scotney
Text Mining via Information Extraction
R. Feldman, Y. Aumann, M. Fresko, (et al.)
TopCat: Data Mining for Topic Identification in a Text Corpus
C. Clifton, R. Cooley
Selection and Statistical Validation of Features and Prototypes
M. Sebban, D. A. Zighed, S. Di Palma
Taming Large Rule Models in Rough Set Approaches
T. Agotnes, J. Komorowski, T. Loken
Optimizing Disjunctive Association Rules
D. Zelenko
Contribution of Boosting in Wrapper Models
M. Sebban, R. Nock
Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme
R. Nock, M. Sebban, P. Jappy
Heuristic Measures of Interestingness
R. J. Hilderman, H. J. Hamilton
Enhancing Rule Interestingness for Neuro-fuzzy Systems
T. Wittmann, J. Ruhland, M. Eichholz
Unsupervised Profiling for Identifying Superimposed Fraud
U. Murad, G. Pinkas
OPTICS-OF: Identifying Local Outliers
M. M. Breunig, H.-P. Kriegel, R. T. Ng, (et al.)
Selective Propositionalization for Relational Learning
E. Alphonse, C. Rouveirol
Circle Graphs: New Visualization Tools for Text-Mining
Y. Aumann, R. Feldman, Y. B. Yehuda, (et al.)
On the Consistency of Information Filters for Lazy Learning Algorithms
H. Brighton, C. Mellish
Using Genetic Algorithms to Evolve a Rule Hierarchy
R. Cattral, F. Oppacher, D. Deugo
Mining Temporal Features in Association Rules
X. Chen, I. Petrounias
The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning
F. Coenen, G. Swinnen, K. Vanhoof, (et al.)
Analyzing an Email Collection Using Formal Concept Analysis
R. Cole, P. Eklund
Business Focused Evaluation Methods: A Case Study
P. Datta
Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions
W. Ertel, M. Schramm
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation?
A. Feelders
Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts
M. C. Fernandez-Baizan, E. Menasalvas Ruiz, J. M. Pena Sanchez, (et al.)
A Fuzzy Beam-Search Rule Induction Algorithm
C. S. Fertig, A. A. Freitas, L. V. R. Arruda, (et al.)
An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining
Z. Fu
Extension to C-means Algorithm for the Use of Similarity Functions
J. R. Garcia-Serrano, J. F. Martinez-Trinidad
Predicting Chemical Carcinogenesis Using Structural Information Only
C. J. Kennedy, C. Giraud-Carrier, D. W. Bristol
LA - A Clustering Algorithm with an Automated Selection of Attributes, which Is Invariant to Functional Transformations of Coordinates
M. V. Kiselev, S. M. Ananyan, S. B. Arseniev
Association Rule Selection in a Data Mining Environment
M. Klemettinen, H. Mannila, A. I. Verkamo
Multi-relational Decision Tree Induction
A. J. Knobbe, A. Siebes, D. van der Wallen
Learning of Simple Conceptual Graphs from Positive and Negative Examples
S. O. Kuznetsov
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
W. Kwedlo, M. Kretowski
ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables
S. Lallich
Efficient Mining of High Confidence Association Rules without Support Thresholds
J. Li, X. Zhang, G. Dong, (et al.)
A Logical Approach to Fuzzy Data Analysis
C.-J. Liau, D.-R. Liu
AST: Support for Algorithm Selection with a CBR Approach
G. Lindner, R. Studer
Efficient Shared Near Neighbours Clustering of Large Metric Data Sets
S. Lodi, L. Reami, C. Sartori
Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements
S. Lopes, J.-M. Petit, F. Toumani
Learning from Highly Structured Data by Decomposition
R. Mac Kinney-Romero, C. Giraud-Carrier
Combinatorial Approach for Data Binarization
E. Mayoraz, M. Moreira
Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method
M. K. Muyeba, J. A. Keane
Automated Discovery of Polynomials by Inductive Genetic Programming
N. Nikolaev, H. Iba
Diagnosing Acute Appendicitis with Very Simple Classification Rules
A. Ohrn, J. Komorowski
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
T. Okada
Maintenance of Discovered Knowledge
M. Pechoucek, O. Stepankova, P. Miksovsky
A Divisive Initialization Method for Clustering Algorithms
C. Pizzuti, D. Talia, G. Vonella
A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series
T. Poddig, K. Huber
Mining Lemma Disambiguation Rules from Czech Corpora
L. Popelinsky, T. Pavelek
Adding Temporal Semantics to Association Rules
C. P. Rainsford, J. F. Roddick
Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept
R. Rakotomalala, S. Lallich, S. Di Palma
Discovering Rules in Information Trees
Z. W. Ras
Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections
A. Rauber, D. Merkl
Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking
J. Ruhland, T. Wittmann
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
A. A. Savinov
Towards Discovery of Information Granules
A. Skowron, J. Stepaniuk
Classification Algorithms Based on Linear Combinations of Features
D. Slezak, J. Wroblewski
Managing Interesting Rules in Sequence Mining
M. Spiliopoulou
Support Vector Machines for Knowledge Discovery
S. Sugaya, E. Suzuki, S. Tsumoto
Regression by Feature Projections
I. Uysal, H. A. Guvenir
Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms
N. Xiong, L. Litz
Data Mining for Robust Business Intelligence Solutions
J. Mrazek
Query Languages for Knowledge Discovery in Databases
J.-F. Boulicaut
The ESPRIT Project CreditMine and Its Relevance for the Internet Market
S. Kohler, M. Krieger
Logics and Statistics for Association Rules and Beyond
P. Hajek, J. Rauch
Data Mining for the Web
M. Spiliopoulou
Relational Learning and Inductive Logic Programming Made Easy
L. De Raedt, H. Blockeel
Author Index
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