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.
Author(s): Eamonn J. Keogh, Michael J. Pazzani (auth.), Jan M. Żytkow, Jan Rauch (eds.)
Series: Lecture Notes in Computer Science 1704 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1999
Language: English
Pages: 593
Tags: Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Multimedia Information Systems; Probability and Statistics in Computer Science; Business Information Systems
Front Matter....Pages -
Scaling up Dynamic Time Warping to Massive Datasets....Pages 1-11
The Haar Wavelet Transform in the Time Series Similarity Paradigm....Pages 12-22
Rule Discovery in Large Time-Series Medical Databases....Pages 23-31
Simultaneous Prediction of Multiple Chemical Parameters of River Water Quality with TILDE....Pages 32-40
Applying Data Mining Techniques to Wafer Manufacturing....Pages 41-50
An Application of Data Mining to the Problem of the University Students’ Dropout Using Markov Chains....Pages 51-60
Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDD....Pages 61-70
Taxonomy Formation by Approximate Equivalence Relations, Revisited....Pages 71-79
On the Use of Self-Organizing Maps for Clustering and Visualization....Pages 80-88
Speeding Up the Search for Optimal Partitions....Pages 89-97
Experiments in Meta-level Learning with ILP....Pages 98-106
Boolean Reasoning Scheme with Some Applications in Data Mining....Pages 107-115
On the Correspondence between Classes of Implicational and Equivalence Quantifiers....Pages 116-124
Querying Inductive Databases via Logic-Based User-Defined Aggregates....Pages 125-135
Peculiarity Oriented Multi-database Mining....Pages 136-146
Knowledge Discovery in Medical Multi-databases: A Rough Set Approach....Pages 147-155
Automated Discovery of Rules and Exceptions from Distributed Databases Using Aggregates....Pages 156-164
Text Mining via Information Extraction....Pages 165-173
TopCat: Data Mining for Topic Identification in a Text Corpus....Pages 174-183
Selection and Statistical Validation of Features and Prototypes....Pages 184-192
Taming Large Rule Models in Rough Set Approaches....Pages 193-203
Optimizing Disjunctive Association Rules....Pages 204-213
Contribution of Boosting in Wrapper Models....Pages 214-222
Experiments on a Representation-Independent “Top-Down and Prune” Induction Scheme....Pages 223-231
Heuristic Measures of Interestingness....Pages 232-241
Enhancing Rule Interestingness for Neuro-fuzzy Systems....Pages 242-250
Unsupervised Profiling for Identifying Superimposed Fraud....Pages 251-261
OPTICS-OF: Identifying Local Outliers....Pages 262-270
Selective Propositionalization for Relational Learning....Pages 271-276
Circle Graphs: New Visualization Tools for Text-Mining....Pages 277-282
On the Consistency of Information Filters for Lazy Learning Algorithms....Pages 283-288
Using Genetic Algorithms to Evolve a Rule Hierarchy....Pages 289-294
Mining Temporal Features in Association Rules....Pages 295-300
The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning....Pages 301-308
Analyzing an Email Collection Using Formal Concept Analysis....Pages 309-315
Business Focused Evaluation Methods: A Case Study....Pages 316-322
Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions....Pages 323-328
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation?....Pages 329-334
Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts....Pages 335-340
A Fuzzy Beam-Search Rule Induction Algorithm....Pages 341-347
An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining....Pages 348-353
Extension to C-means Algorithm for the Use of Similarity Functions....Pages 354-359
Predicting Chemical Carcinogenesis Using Structural Information Only....Pages 360-365
LA – A Clustering Algorithm with an Automated Selection of Attributes, Which is Invariant to Functional Transformations of Coordinates....Pages 366-371
Association Rule Selection in a Data Mining Environment....Pages 372-377
Multi-relational Decision Tree Induction....Pages 378-383
Learning of Simple Conceptual Graphs from Positive and Negative Examples....Pages 384-391
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction....Pages 392-397
ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables....Pages 398-405
Efficient Mining of High Confidence Association Rules without Support Thresholds....Pages 406-411
A Logical Approach to Fuzzy Data Analysis....Pages 412-417
AST: Support for Algorithm Selection with a CBR Approach....Pages 418-423
Efficient Shared Near Neighbours Clustering of Large Metric Data Sets....Pages 424-429
Discovery of “Interesting” Data Dependencies from a Workload of SQL Statements....Pages 430-435
Learning from Highly Structured Data by Decomposition....Pages 436-441
Combinatorial Approach for Data Binarization....Pages 442-447
Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method....Pages 448-455
Automated Discovery of Polynomials by Inductive Genetic Programming....Pages 456-461
Diagnosing Acute Appendicitis with Very Simple Classification Rules....Pages 462-467
Rule Induction in Cascade Model Based on Sum of Squares Decomposition....Pages 468-475
Maintenance of Discovered Knowledge....Pages 476-483
A Divisive Initialisation Method for Clustering Algorithms....Pages 484-491
A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series....Pages 492-497
Mining Lemma Disambiguation Rules from Czech Corpora....Pages 498-503
Adding Temporal Semantics to Association Rules....Pages 504-509
Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept....Pages 510-517
Discovering Rules in Information Trees....Pages 518-523
Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections....Pages 524-529
Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking....Pages 530-535
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions....Pages 536-541
Towards Discovery of Information Granules....Pages 542-547
Classification Algorithms Based on Linear Combinations of Features....Pages 548-553
Managing Interesting Rules in Sequence Mining....Pages 554-560
Support Vector Machines for Knowledge Discovery....Pages 561-567
Regression by Feature Projections....Pages 568-573
Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms....Pages 574-579
Data Mining for Robust Business Intelligence Solutions....Pages 580-581
Query Languages for Knowledge Discovery in Databases....Pages 582-583
The ESPRIT Project CreditMine and its Relevance for the Internet Market....Pages 584-585
Logics and Statistics for Association Rules and Beyond....Pages 586-587
Data Mining for the Web....Pages 588-589
Relational Learning and Inductive Logic Programming Made Easy....Pages 590-590
Back Matter....Pages -
