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ORCID7th PKDD 2003: Cavtat-Dubrovnik, Croatia
- Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski:
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. Lecture Notes in Computer Science 2838, Springer 2003, ISBN 3-540-20085-1
Invited Papers
- Pieter W. Adriaans:
From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge. 1-8 - Leo Breiman:
Two-Eyed Algorithms and Problems. 9 - Christos Faloutsos
:
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data. 10-15 - Donald B. Rubin:
Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions. 16-22
Contributed Papers
- Alan Ableson, Janice I. Glasgow:
Efficient Statistical Pruning of Association Rules. 23-34 - Elena Baralis, Paolo Garza:
Majority Classification by Means of Association Rules. 35-46 - Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
Adaptive Constraint Pushing in Frequent Pattern Mining. 47-58 - Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
ExAnte: Anticipated Data Reduction in Constrained Pattern Mining. 59-70 - Toon Calders, Bart Goethals:
Minimal k-Free Representations of Frequent Sets. 71-82 - Gemma Casas-Garriga:
Discovering Unbounded Episodes in Sequential Data. 83-94 - Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Mr-SBC: A Multi-relational Naïve Bayes Classifier. 95-106 - Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer:
SMOTEBoost: Improving Prediction of the Minority Class in Boosting. 107-119 - Ludovic Denoyer, Patrick Gallinari:
Using Belief Networks and Fisher Kernels for Structured Document Classification. 120-131 - Steven van Dijk, Linda C. van der Gaag, Dirk Thierens:
A Skeleton-Based Approach to Learning Bayesian Networks from Data. 132-143 - Tapio Elomaa, Juho Rousu:
On Decision Boundaries of Naïve Bayes in Continuous Domains. 144-155 - David P. Enot, Ross D. King:
Application of Inductive Logic Programming to Structure-Based Drug Design. 156-167 - Eibe Frank, Mark Hall:
Visualizing Class Probability Estimators. 168-179 - Jaana Heino, Hannu Toivonen:
Automated Detection of Epidemics from the Usage Logs of a Physicians' Reference Database. 180-191 - Shoji Hirano, Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. 192-203 - Stefan Holland, Martin Ester, Werner Kießling:
Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications. 204-216 - Andreas Hotho, Steffen Staab, Gerd Stumme:
Explaining Text Clustering Results Using Semantic Structures. 217-228 - Aleks Jakulin, Ivan Bratko:
Analyzing Attribute Dependencies. 229-240 - Karin Kailing, Hans-Peter Kriegel, Peer Kröger, Stefanie Wanka:
Ranking Interesting Subspaces for Clustering High Dimensional Data. 241-252 - Eamonn J. Keogh:
Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases. 253-265 - Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer:
Using Transduction and Multi-view Learning to Answer Emails. 266-277 - Adam Kowalczyk, Bhavani Raskutti:
Exploring Fringe Settings of SVMs for Classification. 278-290 - Antti Leino, Heikki Mannila, Ritva Liisa Pitkänen:
Rule Discovery and Probabilistic Modeling for Onomastic Data. 291-302 - Marion Leleu, Christophe Rigotti, Jean-François Boulicaut, Guillaume Euvrard:
Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions. 303-314 - Marcus-Christopher Ludl:
Symbolic Distance Measurements Based on Characteristic Subspaces. 315-326 - Taneli Mielikäinen, Heikki Mannila:
The Pattern Ordering Problem. 327-338 - Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka:
Collaborative Filtering Using Restoration Operators. 339-349 - Siegfried Nijssen, Joost N. Kok:
Efficient Frequent Query Discovery in FARMER. 350-362 - Mordechai Nisenson, Ido Yariv, Ran El-Yaniv, Ron Meir:
Towards Behaviometric Security Systems: Learning to Identify a Typist. 363-374 - Fei Pan, Baoying Wang, Yi Zhang, Dongmei Ren, Xin Hu, William Perrizo:
Efficient Density Clustering Method for Spatial Data. 375-386 - Nam Hun Park, Won Suk Lee:
Statistical sigma-Partition Clustering over Data Streams. 387-398 - Henri Prade, Gilles Richard, Mathieu Serrurier:
Enriching Relational Learning with Fuzzy Predicates. 399-410 - Maximilien Sauban, Bernhard Pfahringer:
Text Categorisation Using Document Profiling. 411-422 - Jouni K. Seppänen, Ella Bingham, Heikki Mannila:
A Simple Algorithm for Topic Identification in 0-1 Data. 423-434 - Bernd Thomas:
Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents. 435-446 - Luís Torgo, Rita P. Ribeiro:
Predicting Outliers. 447-458 - Shusaku Tsumoto:
Mining Rules of Multi-level Diagnostic Procedure from Databases. 459-470 - Teddy Turmeaux, Ansaf Salleb, Christel Vrain, Daniel Cassard:
Learning Characteristic Rules Relying on Quantified Paths. 471-482 - Huaiyu Zhu, Shivakumar Vaithyanathan, Mahesh V. Joshi:
Topic Learning from Few Examples. 483-494 - Djamel A. Zighed, Gilbert Ritschard, Walid Erray, Vasile-Marian Scuturici:
Arbogodaï, a New Approach for Decision Trees. 495-506
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