Knowledge Discovery in Databases

PKDD 2003 : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings

By: Nada LavraÄ� (Editor), Dragan Gamberger (Editor), Hendrik Blockeel (Editor)

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Paperback | 11 September 2003

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The proceedings of ECML/PKDD2003 are published in two volumes: the P- ceedings of the 14th European Conference on Machine Learning (LNAI 2837) and the Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (LNAI 2838). The two conferences were held on September 22-26, 2003 in Cavtat, a small tourist town in the vicinity of Dubrovnik, Croatia. As machine learning and knowledge discovery are two highly related ?elds, theco-locationofbothconferencesisbene?cialforbothresearchcommunities.In Cavtat, ECML and PKDD were co-located for the third time in a row, following the successful co-location of the two European conferences in Freiburg (2001) and Helsinki (2002). The co-location of ECML2003 and PKDD2003 resulted in a joint program for the two conferences, including paper presentations, invited talks, tutorials, and workshops. Out of 332 submitted papers, 40 were accepted for publication in the ECML2003proceedings,and40wereacceptedforpublicationinthePKDD2003 proceedings. All the submitted papers were reviewed by three referees. In ad- tion to submitted papers, the conference program consisted of four invited talks, four tutorials, seven workshops, two tutorials combined with a workshop, and a discovery challenge.

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From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge	p. 1
Two-Eyed Algorithms and Problems	p. 9
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data	p. 10
Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions	p. 16
Efficient Statistical Pruning of Association Rules	p. 23
Majority Classification by Means of Association Rules	p. 35
Adaptive Constraint Pushing in Frequent Pattern Mining	p. 47
ExAnte: Anticipated Data Reduction in Constrained Pattern Mining	p. 59
Minimal k-Free Representations of Frequent Sets	p. 71
Discovering Unbounded Episodes in Sequential Data	p. 83
Mr-SBC: A Multi-relational Naive Bayes Classifier	p. 95
SMOTEBoost: Improving Prediction of the Minority Class in Boosting	p. 107
Using Belief Networks and Fisher Kernels for Structured Document Classification	p. 120
A Skeleton-Based Approach to Learning Bayesian Networks from Data	p. 132
On Decision Boundaries of Naive Bayes in Continuous Domains	p. 144
Application of Inductive Logic Programming to Structure-Based Drug Design	p. 156
Visualizing Class Probability Estimators	p. 168
Automated Detection of Epidemics from the Usage Logs of a Physicians' Reference Database	p. 180
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations	p. 192
Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications	p. 204
Explaining Text Clustering Results Using Semantic Structures	p. 217
Analyzing Attribute Dependencies	p. 229
Ranking Interesting Subspaces for Clustering High Dimensional Data	p. 241
Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases	p. 253
Using Transduction and Multi-view Learning to Answer Emails	p. 266
Exploring Fringe Settings of SVMs for Classification	p. 278
Rule Discovery and Probabilistic Modeling for Onomastic Data	p. 291
Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions	p. 303
Symbolic Distance Measurements Based on Characteristic Subspaces	p. 315
The Pattern Ordering Problem	p. 327
Collaborative Filtering Using Restoration Operators	p. 339
Efficient Frequent Query Discovery in Farmer	p. 350
Towards Behaviometric Security Systems: Learning to Identify a Typist	p. 363
Efficient Density Clustering Method for Spatial Data	p. 375
Statistical [sigma]-Partition Clustering over Data Streams	p. 387
Enriching Relational Learning with Fuzzy Predicates	p. 399
Text Categorisation Using Document Profiling	p. 411
A Simple Algorithm for Topic Identification in 0-1 Data	p. 423
Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents	p. 435
Predicting Outliers	p. 447
Mining Rules of Multi-level Diagnostic Procedure from Databases	p. 459
Learning Characteristic Rules Relying on Quantified Paths	p. 471
Topic Learning from Few Examples	p. 483
Arbogodai, a New Approach for Decision Trees	p. 495
Author Index	p. 507
Table of Contents provided by Blackwell. All Rights Reserved.

Knowledge Discovery in Databases

PKDD 2003 : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings

At a Glance

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