Abstract is missing.
- Multi-Relational Data Mining, Using UML for ILPArno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen. 1-12 [doi]
- An Apriori-Based Algorithm for Mining Frequent Substructures from Graph DataAkihiro Inokuchi, Takashi Washio, Hiroshi Motoda. 13-23 [doi]
- Basis of Fuzzy Knowledge Discovery SystemMaurice Bernadet. 24-33 [doi]
- Confirmation Rule SetsDragan Gamberger, Nada Lavrac. 34-43 [doi]
- Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge DiscoveryMarc Sebban, Richard Nock. 44-53 [doi]
- Combining Multiple Models with Meta Decision TreesLjupco Todorovski, Saso Dzeroski. 54-64 [doi]
- Materialized Data Mining ViewsTadeusz Morzy, Marek Wojciechowski, Maciej Zakrzewicz. 65-74 [doi]
- Approximation of Frequency Queris by Means of Free-SetsJean-François Boulicaut, Artur Bykowski, Christophe Rigotti. 75-85 [doi]
- Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency ControlChristophe Druet, Damien Ernst, Louis Wehenkel. 86-95 [doi]
- Efficient Score-Based Learning of Equivalence Classes of Bayesian NetworksPaul Munteanu, Denis Cau. 96-105 [doi]
- Quantifying the Resilience of Inductive Classification AlgorithmsMelanie Hilario, Alexandros Kalousis. 106-115 [doi]
- Bagging and Boosting with Dynamic Integration of ClassifiersAlexey Tsymbal, Seppo Puuronen. 116-125 [doi]
- Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance InformationCarlos Soares, Pavel Brazdil. 126-135 [doi]
- Some Enhencements of Decision Tree BaggingPierre Geurts. 136-147 [doi]
- Relative Unsupervised Discretization for Association Rule MiningMarcus-Christopher Ludl, Gerhard Widmer. 148-158 [doi]
- Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today s ApproachesJochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh. 159-168 [doi]
- Unified Algorithm for Undirected Discovery of Execption RulesEinoshin Suzuki, Jan M. Zytkow. 169-180 [doi]
- Sampling Strategies for Targeting Rare Groups from a Bank Customer DatabaseJean-Hugues Chauchat, Ricco Rakotomalala, Didier Robert. 181-190 [doi]
- Instance-Based Classification by Emerging PatternsJinyan Li, Guozhu Dong, Kotagiri Ramamohanarao. 191-200 [doi]
- Context-Based Similarity Measures for Categorical DatabasesGautam Das, Heikki Mannila. 201-210 [doi]
- A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based MethodsNgoc Binh Nguyen, Tu Bao Ho. 211-220 [doi]
- Fast Feature Selection Using Partial Correlation for Multi-vaslued AttributesStéphane Lallich, Ricco Rakotomalala. 221-231 [doi]
- Fast Hierarchical Clustering Based on Compressed Data and OPTICSMarkus M. Breunig, Hans-Peter Kriegel, Jörg Sander. 232-242 [doi]
- Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering AlgorithmsBin Zhang, Meichun Hsu, George Forman. 243-254 [doi]
- Predictive Performance of Weghted Relative AccuracyLjupco Todorovski, Peter A. Flach, Nada Lavrac. 255-264 [doi]
- Quality Scheme Assessment in the Clustering ProcessMaria Halkidi, Michalis Vazirgiannis, Yannis Batistakis. 265-276 [doi]
- Algorithm for Matching Sets of Time SeriesIztok Savnik, Georg Lausen, Hans-Peter Kahle, Heinrich Spiecker, Sebastian Hein. 277-288 [doi]
- MSTS: A System for Mining Sets of Time SeriesGeorg Lausen, Iztok Savnik, Aldar Dougarjapov. 289-298 [doi]
- Learning First Order Logic Time Series Classifiers: Rules and BoostingJuan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström. 299-308 [doi]
- Learning Right Sized Belief Networks by Means of a Hybrid MethodologySilvia Acid, Luis M. de Campos. 309-315 [doi]
- Algorithms for Mining Share Frequent Itemsets Containing Infrequent SubsetsBrock Barber, Howard J. Hamilton. 316-324 [doi]
- Discovering Task Neighbourhoods Through Landmark Learning PerformancesHilan Bensusan, Christophe G. Giraud-Carrier. 325-330 [doi]
- Induction of Multivariate Decision Trees by Using Dipolar CriteriaLeon Bobrowski, Marek Kretowski. 331-336 [doi]
- Inductive Logic Programming in ClementineSam Brewer, Tom Khabaza. 337-344 [doi]
- A Genetic Algorithm-Based Solution for the Problem of Small DisjunctsDeborah R. Carvalho, Alex Alves Freitas. 345-352 [doi]
- Clustering Large, Multi-level Data Sets: An Apporach Based on Kohonen Self Organizing MapsAntonio Ciampi, Yves Lechevallier. 353-358 [doi]
- Trees and Induction Graphs for Multivariate ResponseAntonio Ciampi, Djamel A. Zighed, Jérémy Clech. 359-366 [doi]
- CEM-Visualisation and Discovery in EmailRichard J. Cole II, Peter W. Eklund, Gerd Stumme. 367-374 [doi]
- Image Access and Data Mining: An ApproachChabane Djeraba. 375-380 [doi]
- Decision Tree Toolkit: A Component-Based Library of Decision Tree AlgorithmsNikos Drossos, Athanassios Papagelis, Dimitrios Kalles. 381-387 [doi]
- Determination of Screening Descriptors for Chemical Reaction DatabasesLaurent Dury, Laurence Leherte, Daniel P. Vercauteren. 388-394 [doi]
- Prior Knowledge in Economic Applications of Data MiningA. J. Feelders. 395-400 [doi]
- Temporal Machine Learning for Switching ControlPierre Geurts, Louis Wehenkel. 401-408 [doi]
- Improving Dissimilarity Functions with Domain Knowledge, Applications with IKBS SystemDavid Grosser, Jean Diatta, Noël Conruyt. 409-415 [doi]
- Mining Weighted Association Rules for Fuzzy Quantitative ItemsAttila Gyenesei. 416-423 [doi]
- Centroid-Based Document Classification: Analysis and Experimental ResultsEui-Hong Han, George Karypis. 424-431 [doi]
- Applying Objective Interestingness Measures in Data Mining SystemsRobert J. Hilderman, Howard J. Hamilton. 432-439 [doi]
- Observational Logic Integrates Data Mining Based on Statistics and Neural NetworksMartin Holena. 440-445 [doi]
- Supporting Discovery in Medicine by Association Rule Mining of Bibliographic DatabasesDimitar Hristovski, Saso Dzeroski, Borut Peterlin, Anamarija Rozic-Hristovski. 446-451 [doi]
- Collective Principal Component Analysis from Distributed, Heterogeneous DataHillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, Byung-Hoon Park, Shuren Wang. 452-457 [doi]
- Hierarchical Document Clustering Based on Tolerance Rough Set ModelSaori Kawasaki, Ngoc Binh Nguyen, Tu Bao Ho. 458-463 [doi]
- Application of Data-Mining and Knowledge Discovery in Automotive Data EngineeringJörg Keller, Valerij Bauer, Wojciech Kwedlo. 464-469 [doi]
- Towards Knowledge Discovery from cDNA Microarray Gene Expression DataHenryk Jan Komorowski, Torgeir R. Hvidsten, Tor-Kristian Jenssen, Dyre Tjeldvoll, Eivind Hovig, Arne K. Sandvik, Astrid Lægreid. 470-475 [doi]
- Mining with Cover and Extension OperatorsMarzena Kryszkiewicz. 476-482 [doi]
- A User-Driven Process for Mining Association RulesPascale Kuntz, Fabrice Guillet, Rémi Lehn, Henri Briand. 483-489 [doi]
- Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text ClassificationCarsten Lanquillon. 490-497 [doi]
- Schema Mining: Finding Structural Regularity among Semistructured DataPierre-Alain Laur, Florent Masseglia, Pascal Poncelet. 498-503 [doi]
- Improving an Association Rule Based ClassifierBing Liu, Yiming Ma, Ching Kian Wong. 504-509 [doi]
- Discovery of Generalized Association Rules with Multiple Minimum SupportsChung-Leung Lui, Korris Fu-Lai Chung. 510-515 [doi]
- Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type DistributionsAdele H. Marshall, Sally I. McClean, Mary Shapcott, Peter H. Millard. 516-523 [doi]
- Discovering Differences in Patients with Uveitis Through Typical Testors by ClassJosé Francisco Martínez Trinidad, Miriam Velasco-Sánchez, Edgar E. Contreras-Aravelo. 524-529 [doi]
- Web Usage Mining: How to Efficiently Manage New Transactions and New ClientsFlorent Masseglia, Pascal Poncelet, Maguelonne Teisseire. 530-535 [doi]
- Mining Relational DatabasesFrédéric Moal, Teddy Turmeaux, Christel Vrain. 536-541 [doi]
- Interestingness in Attribute-Oriented Induction (AOI): Multiple-Level Rule GenerationMaybin K. Muyeba, John A. Keane. 542-549 [doi]
- Discovery of Characteristic subgraph Patterns Using Relative Indexing and the Cascade ModelTakashi Okada, Mayumi Oyama. 550-557 [doi]
- Transparency and Predicive Power: Explaining Complex Classification ModelsGerhard Paass, Jörg Kindermann. 558-565 [doi]
- Clustering Distributed Homogeneous DatasetsSrinivasan Parthasarathy, Mitsunori Ogihara. 566-574 [doi]
- Empirical Evaluation of Feature Subset Selection Based on a Real-World Data SetPetra Perner, Chidanand Apté. 575-580 [doi]
- Discovery of Ambiguous Patterns in Sequences: Application to BioinformaticsGérard Ramstein, Pascal Bunelle, Yannick Jacques. 581-586 [doi]
- Action-Rules: How to Increase Profit of a CompanyZbigniew W. Ras, Alicja Wieczorkowska. 587-592 [doi]
- Aggregation and Association in Cross TablesGilbert Ritschard, Nicolas Nicoloyannis. 593-598 [doi]
- An Experimental Study of Partition Quality Indices in ClusteringCéline Robardet, Fabien Feschet, Nicolas Nicoloyannis. 599-604 [doi]
- Expert Constrained Clustering: A Symbolic ApproachFabrice Rossi, Frédérick Vautrain. 605-612 [doi]
- An Application of Association Rules Discovery to Geographic Information SystemsAnsaf Salleb, Christel Vrain. 613-618 [doi]
- Generalized Entropy and Projection Clustering of Categorical DataDan A. Simovici, Dana Cristofor, Laurentiu Cristofor. 619-625 [doi]
- Supporting Case Acquisition and Labelling in the Cotext of Web MiningVojtech Svátek, Martin Kavalec. 626-631 [doi]
- Indirect Association: Mining Higher Order Dependencies in DataPang-Ning Tan, Vipin Kumar, Jaideep Srivastava. 632-637 [doi]
- Discovering Association Rules in Large, Dense DatabasesTudor Teusan, Gilles Nachouki, Henri Briand, Jacques Philippe. 638-645 [doi]
- Providing Advice to Website Designers Towards Effective Websites Re-OrganizationPeter Tselios, Agapios Platis, George A. Vouros. 646-651 [doi]
- Clinical Knowledge Discovery in Hospital Information Systems: Two Case StudiesShusaku Tsumoto. 652-656 [doi]
- Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing CaseStijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene. 657-664 [doi]
- Leightweight Document ClusteringSholom M. Weiss, Brian F. White, Chidanand Apté. 665-672 [doi]
- Automatic Category Structure Generation and Categorization of Chinese Text DocumentsHsin-Chang Yang, Chung-Hong Lee. 673-678 [doi]
- Mining Generalized Multiple-Level Association RulesShow-Jane Yen. 679-684 [doi]
- An Efficient Approach to Discovering Sequential Patterns in Large DatabasesShow-Jane Yen, Chung-Wen Cho. 685-690 [doi]
- Using Background Knowledge as a Bias to Control the Rule Discovery ProcessNing Zhong, Juzhen Dong, Setsuo Ohsuga. 691-698 [doi]