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ORCID4th PKDD 2000: Lyon, France
- Djamel A. Zighed, Henryk Jan Komorowski
, Jan M. Zytkow:
Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000, Proceedings. Lecture Notes in Computer Science 1910, Springer 2000, ISBN 3-540-41066-X
Session 1A - Towards Broader Foundations
- Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen:
Multi-Relational Data Mining, Using UML for ILP. 1-12 - Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda:
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data. 13-23 - Maurice Bernadet:
Basis of Fuzzy Knowledge Discovery System. 24-33
Session 1B - Rules and Trees
- Dragan Gamberger, Nada Lavrac:
Confirmation Rule Sets. 34-43 - Marc Sebban, Richard Nock:
Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery. 44-53 - Ljupco Todorovski, Saso Dzeroski:
Combining Multiple Models with Meta Decision Trees. 54-64
Session 2A - Databases and Reward-Based Learning
- Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzewicz:
Materialized Data Mining Views. 65-74 - Jean-François Boulicaut, Artur Bykowski, Christophe Rigotti:
Approximation of Frequency Queris by Means of Free-Sets. 75-85 - Christophe Druet, Damien Ernst, Louis Wehenkel:
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control. 86-95 - Paul Munteanu, Denis Cau:
Efficient Score-Based Learning of Equivalence Classes of Bayesian Networks. 96-105
Session 2B - Classification
- Melanie Hilario, Alexandros Kalousis:
Quantifying the Resilience of Inductive Classification Algorithms. 106-115 - Alexey Tsymbal, Seppo Puuronen:
Bagging and Boosting with Dynamic Integration of Classifiers. 116-125 - Carlos Soares, Pavel Brazdil:
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. 126-135 - Pierre Geurts:
Some Enhencements of Decision Tree Bagging. 136-147
Session 3A - Association Rules and Exeptions
- Marcus-Christopher Ludl, Gerhard Widmer:
Relative Unsupervised Discretization for Association Rule Mining. 148-158 - Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh:
Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches. 159-168 - Einoshin Suzuki, Jan M. Zytkow:
Unified Algorithm for Undirected Discovery of Execption Rules. 169-180 - Jean-Hugues Chauchat, Ricco Rakotomalala, Didier Robert:
Sampling Strategies for Targeting Rare Groups from a Bank Customer Database. 181-190
Session 3B - Instance-Based Discovery
- Jinyan Li, Guozhu Dong, Kotagiri Ramamohanarao:
Instance-Based Classification by Emerging Patterns. 191-200 - Gautam Das, Heikki Mannila:
Context-Based Similarity Measures for Categorical Databases. 201-210 - Ngoc Binh Nguyen, Tu Bao Ho:
A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods. 211-220 - Stéphane Lallich, Ricco Rakotomalala:
Fast Feature Selection Using Partial Correlation for Multi-vaslued Attributes. 221-231
Session 4A - Clustering and Classification
- Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander:
Fast Hierarchical Clustering Based on Compressed Data and OPTICS. 232-242 - Bin Zhang, Meichun Hsu, George Forman:
Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering Algorithms. 243-254 - Ljupco Todorovski, Peter A. Flach, Nada Lavrac:
Predictive Performance of Weghted Relative Accuracy. 255-264 - Maria Halkidi, Michalis Vazirgiannis, Yannis Batistakis:
Quality Scheme Assessment in the Clustering Process. 265-276
Session 5A - Time Series
- Iztok Savnik, Georg Lausen, Hans-Peter Kahle, Heinrich Spiecker, Sebastian Hein:
Algorithm for Matching Sets of Time Series. 277-288 - Georg Lausen, Iztok Savnik, Aldar Dougarjapov:
MSTS: A System for Mining Sets of Time Series. 289-298 - Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström:
Learning First Order Logic Time Series Classifiers: Rules and Boosting. 299-308
Posters
- Silvia Acid, Luis M. de Campos:
Learning Right Sized Belief Networks by Means of a Hybrid Methodology. 309-315 - Brock Barber, Howard J. Hamilton:
Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets. 316-324 - Hilan Bensusan, Christophe G. Giraud-Carrier:
Discovering Task Neighbourhoods Through Landmark Learning Performances. 325-330 - Leon Bobrowski, Marek Kretowski:
Induction of Multivariate Decision Trees by Using Dipolar Criteria. 331-336 - Sam Brewer, Tom Khabaza:
Inductive Logic Programming in Clementine. 337-344 - Deborah R. Carvalho, Alex Alves Freitas:
A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts. 345-352 - Antonio Ciampi, Yves Lechevallier:
Clustering Large, Multi-level Data Sets: An Apporach Based on Kohonen Self Organizing Maps. 353-358 - Antonio Ciampi, Djamel A. Zighed, Jérémy Clech:
Trees and Induction Graphs for Multivariate Response. 359-366 - Richard J. Cole II, Peter W. Eklund, Gerd Stumme:
CEM-Visualisation and Discovery in Email. 367-374 - Chabane Djeraba:
Image Access and Data Mining: An Approach. 375-380 - Nikos Drossos, Athanassios Papagelis, Dimitrios Kalles:
Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms. 381-387 - Laurent Dury, Laurence Leherte, Daniel P. Vercauteren:
Determination of Screening Descriptors for Chemical Reaction Databases. 388-394 - A. J. Feelders:
Prior Knowledge in Economic Applications of Data Mining. 395-400 - Pierre Geurts, Louis Wehenkel:
Temporal Machine Learning for Switching Control. 401-408 - David Grosser, Jean Diatta, Noël Conruyt:
Improving Dissimilarity Functions with Domain Knowledge, Applications with IKBS System. 409-415 - Attila Gyenesei:
Mining Weighted Association Rules for Fuzzy Quantitative Items. 416-423 - Eui-Hong Han, George Karypis:
Centroid-Based Document Classification: Analysis and Experimental Results. 424-431 - Robert J. Hilderman, Howard J. Hamilton:
Applying Objective Interestingness Measures in Data Mining Systems. 432-439 - Martin Holena:
Observational Logic Integrates Data Mining Based on Statistics and Neural Networks. 440-445 - Dimitar Hristovski, Saso Dzeroski, Borut Peterlin, Anamarija Rozic-Hristovski:
Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases. 446-451 - Hillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, Byung-Hoon Park, Shuren Wang:
Collective Principal Component Analysis from Distributed, Heterogeneous Data. 452-457 - Saori Kawasaki, Ngoc Binh Nguyen, Tu Bao Ho:
Hierarchical Document Clustering Based on Tolerance Rough Set Model. 458-463 - Jörg Keller, Valerij Bauer, Wojciech Kwedlo:
Application of Data-Mining and Knowledge Discovery in Automotive Data Engineering. 464-469 - Henryk Jan Komorowski, Torgeir R. Hvidsten, Tor-Kristian Jenssen, Dyre Tjeldvoll, Eivind Hovig, Arne K. Sandvik, Astrid Lægreid:
Towards Knowledge Discovery from cDNA Microarray Gene Expression Data. 470-475 - Marzena Kryszkiewicz:
Mining with Cover and Extension Operators. 476-482 - Pascale Kuntz, Fabrice Guillet, Rémi Lehn, Henri Briand:
A User-Driven Process for Mining Association Rules. 483-489 - Carsten Lanquillon:
Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification. 490-497 - Pierre-Alain Laur, Florent Masseglia, Pascal Poncelet:
Schema Mining: Finding Structural Regularity among Semistructured Data. 498-503 - Bing Liu, Yiming Ma, Ching Kian Wong:
Improving an Association Rule Based Classifier. 504-509 - Chung-Leung Lui, Korris Fu-Lai Chung:
Discovery of Generalized Association Rules with Multiple Minimum Supports. 510-515 - Adele H. Marshall, Sally I. McClean, Mary Shapcott, Peter H. Millard:
Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions. 516-523 - José Francisco Martínez Trinidad, Miriam Velasco-Sánchez, Edgar E. Contreras-Aravelo:
Discovering Differences in Patients with Uveitis Through Typical Testors by Class. 524-529 - Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire:
Web Usage Mining: How to Efficiently Manage New Transactions and New Clients. 530-535 - Frédéric Moal, Teddy Turmeaux, Christel Vrain:
Mining Relational Databases. 536-541 - Maybin K. Muyeba, John A. Keane:
Interestingness in Attribute-Oriented Induction (AOI): Multiple-Level Rule Generation. 542-549 - Takashi Okada, Mayumi Oyama:
Discovery of Characteristic subgraph Patterns Using Relative Indexing and the Cascade Model. 550-557 - Gerhard Paass, Jörg Kindermann:
Transparency and Predicive Power: Explaining Complex Classification Models. 558-565 - Srinivasan Parthasarathy, Mitsunori Ogihara:
Clustering Distributed Homogeneous Datasets. 566-574 - Petra Perner, Chidanand Apté:
Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set. 575-580 - Gérard Ramstein, Pascal Bunelle, Yannick Jacques:
Discovery of Ambiguous Patterns in Sequences: Application to Bioinformatics. 581-586 - Zbigniew W. Ras, Alicja Wieczorkowska:
Action-Rules: How to Increase Profit of a Company. 587-592 - Gilbert Ritschard, Nicolas Nicoloyannis:
Aggregation and Association in Cross Tables. 593-598 - Céline Robardet, Fabien Feschet, Nicolas Nicoloyannis:
An Experimental Study of Partition Quality Indices in Clustering. 599-604 - Fabrice Rossi, Frédérick Vautrain:
Expert Constrained Clustering: A Symbolic Approach. 605-612 - Ansaf Salleb, Christel Vrain:
An Application of Association Rules Discovery to Geographic Information Systems. 613-618 - Dan A. Simovici, Dana Cristofor, Laurentiu Cristofor:
Generalized Entropy and Projection Clustering of Categorical Data. 619-625 - Vojtech Svátek, Martin Kavalec:
Supporting Case Acquisition and Labelling in the Cotext of Web Mining. 626-631 - Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava:
Indirect Association: Mining Higher Order Dependencies in Data. 632-637 - Tudor Teusan, Gilles Nachouki, Henri Briand, Jacques Philippe:
Discovering Association Rules in Large, Dense Databases. 638-645 - Peter Tselios, Agapios N. Platis, George A. Vouros:
Providing Advice to Website Designers Towards Effective Websites Re-Organization. 646-651 - Shusaku Tsumoto:
Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies. 652-656 - Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene:
Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. 657-664 - Sholom M. Weiss, Brian F. White, Chidanand Apté:
Leightweight Document Clustering. 665-672 - Hsin-Chang Yang, Chung-Hong Lee:
Automatic Category Structure Generation and Categorization of Chinese Text Documents. 673-678 - Show-Jane Yen:
Mining Generalized Multiple-Level Association Rules. 679-684 - Show-Jane Yen, Chung-Wen Cho:
An Efficient Approach to Discovering Sequential Patterns in Large Databases. 685-690 - Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Using Background Knowledge as a Bias to Control the Rule Discovery Process. 691-698
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