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.
Author(s): Pieter Adriaans (auth.), Nada Lavrač, Dragan Gamberger, Ljupčo Todorovski, Hendrik Blockeel (eds.)
Series: Lecture Notes in Computer Science 2838 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2003
Language: English
Pages: 508
Tags: Artificial Intelligence (incl. Robotics); Mathematical Logic and Formal Languages; Probability and Statistics in Computer Science; Database Management; Information Storage and Retrieval; Computer Appl. in Administrative Data Processing
Front Matter....Pages -
From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge....Pages 1-8
Two-Eyed Algorithms and Problems....Pages 9-9
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data....Pages 10-15
Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions....Pages 16-22
Efficient Statistical Pruning of Association Rules....Pages 23-34
Majority Classification by Means of Association Rules....Pages 35-46
Adaptive Constraint Pushing in Frequent Pattern Mining....Pages 47-58
ExAnte: Anticipated Data Reduction in Constrained Pattern Mining....Pages 59-70
Minimal k -Free Representations of Frequent Sets....Pages 71-82
Discovering Unbounded Episodes in Sequential Data....Pages 83-94
Mr-SBC: A Multi-relational Naïve Bayes Classifier....Pages 95-106
SMOTEBoost: Improving Prediction of the Minority Class in Boosting....Pages 107-119
Using Belief Networks and Fisher Kernels for Structured Document Classification....Pages 120-131
A Skeleton-Based Approach to Learning Bayesian Networks from Data....Pages 132-143
On Decision Boundaries of Naïve Bayes in Continuous Domains....Pages 144-155
Application of Inductive Logic Programming to Structure-Based Drug Design....Pages 156-167
Visualizing Class Probability Estimators....Pages 168-179
Automated Detection of Epidemics from the Usage Logs of a Physicians’ Reference Database....Pages 180-191
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations....Pages 192-203
Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications....Pages 204-216
Explaining Text Clustering Results Using Semantic Structures....Pages 217-228
Analyzing Attribute Dependencies....Pages 229-240
Ranking Interesting Subspaces for Clustering High Dimensional Data....Pages 241-252
Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases....Pages 253-265
Using Transduction and Multi-view Learning to Answer Emails....Pages 266-277
Exploring Fringe Settings of SVMs for Classification....Pages 278-290
Rule Discovery and Probabilistic Modeling for Onomastic Data....Pages 291-302
Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions....Pages 303-314
Symbolic Distance Measurements Based on Characteristic Subspaces....Pages 315-326
The Pattern Ordering Problem....Pages 327-338
Collaborative Filtering Using Restoration Operators....Pages 339-349
Efficient Frequent Query Discovery in Farmer ....Pages 350-362
Towards Behaviometric Security Systems: Learning to Identify a Typist....Pages 363-374
Efficient Density Clustering Method for Spatial Data....Pages 375-386
Statistical σ -Partition Clustering over Data Streams....Pages 387-398
Enriching Relational Learning with Fuzzy Predicates....Pages 399-410
Text Categorisation Using Document Profiling....Pages 411-422
A Simple Algorithm for Topic Identification in 0–1 Data....Pages 423-434
Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents....Pages 435-446
Predicting Outliers....Pages 447-458
Mining Rules of Multi-level Diagnostic Procedure from Databases....Pages 459-470
Learning Characteristic Rules Relying on Quantified Paths....Pages 471-482
Topic Learning from Few Examples....Pages 483-494
Arbogodaï, a New Approach for Decision Trees....Pages 495-506
Back Matter....Pages -
