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5th PKDD 2001: Freiburg, Germany
- Luc De Raedt
, Arno Siebes:
Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings. Lecture Notes in Computer Science 2168, Springer 2001, ISBN 3-540-42534-9
Regular Papers
- Jafar Adibi, Wei-Min Shen:
Self-Similar Layered Hidden Markov Models. 1-15 - Massih-Reza Amini, Patrick Gallinari:
Automatic Text Summarization Using Unsupervised and Semi-supervised Learning. 16-28 - Hendrik Blockeel
Detecting Temporal Change in Event Sequences: An Application to Demographic Data. 29-41 - Amanda Clare, Ross D. King:
Knowledge Discovery in Multi-label Phenotype Data. 42-53 - Frans Coenen
Computing Association Rules Using Partial Totals. 54-66 - Clare Bates Congdon:
Gaphyl: A Genetic Algorithms Approach to Cladistics. 67-78 - Ömer Egecioglu:
Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity. 79-90 - Vladimir Estivill-Castro, Michael E. Houle:
Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering. 91-102 - Vladimir Estivill-Castro, Jianhua Yang:
Non-crisp Clustering by Fast, Convergent, and Robust Algorithms. 103-114 - Pierre Geurts:
Pattern Extraction for Time Series Classification. 115-127 - Fosca Giannotti, Giuseppe Manco
Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study. 128-139 - Jeannette M. de Graaf, Walter A. Kosters, Jeroen J. W. Witteman:
Interesting Fuzzy Association Rules in Quantitative Databases. 140-151 - Attila Gyenesei:
Interestingness Measures for Fuzzy Association Rules. 152-164 - Maria Halkidi
A Data Set Oriented Approach for Clustering Algorithm Selection. 165-179 - Melanie Hilario, Alexandros Kalousis:
Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection. 180-191 - Frank Höppner:
Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series. 192-203 - Rie Honda, Osamu Konishi:
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB. 204-215 - Theodore W. Hong, Keith L. Clark:
Using Grammatical Inference to Automate Information Extraction from the Web. 216-227 - Yuh-Jyh Hu:
Biological Sequence Data Mining. 228-240 - Eyke Hüllermeier:
Implication-Based Fuzzy Association Rules. 241-252 - Szymon Jaroszewicz
A General Measure of Rule Interestingness. 253-265 - Jörg Kindermann, Gerhard Paass, Edda Leopold:
Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization. 266-276 - Arno J. Knobbe, Marc de Haas, Arno Siebes:
Propositionalisation and Aggregates. 277-288 - Sergei O. Kuznetsov, Sergei A. Obiedkov:
Algorithms for the Construction of Concept Lattices and Their Diagram Graphs. 289-300 - Aleksandar Lazarevic, Zoran Obradovic:
Data Reduction Using Multiple Models Integration. 301-313 - Roberto R. F. Mendes, Fabricio de B. Voznika, Alex Alves Freitas
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. 314-325 - Claire Nedellec
Sentence Filtering for Information Extraction in Genomics, a Classification Problem. 326-337 - Jörg Ontrup, Helge J. Ritter:
Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces. 338-349 - Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang:
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory. 350-361 - Laurence Anthony F. Park, Marimuthu Palaniswami, Kotagiri Ramamohanarao:
Internet Document Filtering Using Fourier Domain Scoring. 362-373 - Francisco Pereira, Marcel Adam Just, Tom M. Mitchell:
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. 374-385 - Nathalie Pernelle, Marie-Christine Rousset, Véronique Ventos:
Automatic Construction and Refinement of a Class Hierarchy over Multi-valued Data. 386-398 - Céline Robardet, Fabien Feschet:
Comparison of Three Objective Functions for Conceptual Clustering. 399-410 - Felice M. Roberts, Richard J. Povinelli
Identification of ECG Arrhythmias Using Phase Space Reconstruction. 411-423 - Tobias Scheffer:
Finding Association Rules That Trade Support Optimally against Confidence. 424-435 - Einoshin Suzuki, Masafumi Gotoh, Yuta Choki:
Bloomy Decision Tree for Multi-objective Classification. 436-447 - Shusaku Tsumoto:
Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction. 448-459 - Shusaku Tsumoto:
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model. 460-471 - Antony Unwin, Heike Hofmann
The TwoKey Plot for Multiple Association Rules Control. 472-483 - Sholom M. Weiss, Nitin Indurkhya:
Lightweight Collaborative Filtering Method for Binary-Encoded Data. 484-491
Invited Papers
- Thomas G. Dietterich, Xin Wang:
Support Vectors for Reinforcement Learning. 492 - Heikki Mannila:
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. 493 - Antony Unwin:
Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining. 494 - Gerhard Widmer:
The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery. 495-506 - Stefan Wrobel:
Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. 507
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