Abstract is missing.
- CLOUDS: A Decision Tree Classifier for Large DatasetsKhaled Alsabti, Sanjay Ranka, Vineet Singh. 2-8
- Scaling Clustering Algorithms to Large DatabasesPaul S. Bradley, Usama M. Fayyad, Cory Reina. 9-15
- Rule Discovery from Time SeriesGautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth. 16-22
- Similarity of Attributes by External ProbesGautam Das, Heikki Mannila, Pirjo Ronkainen. 23-29
- Occam s Two Razors: The Sharp and the BluntPedro Domingos. 37-43
- Algorithms for Characterization and Trend Detection in Spatial DatabasesMartin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander. 44-50
- Pattern Directed Mining of Sequence DataValery Guralnik, Duminda Wijesekera, Jaideep Srivastava. 51-57
- An Efficient Approach to Clustering in Large Multimedia Databases with NoiseAlexander Hinneburg, Daniel A. Keim. 58-65
- Mining Audit Data to Build Intrusion Detection ModelsWenke Lee, Salvatore J. Stolfo, Kui W. Mok. 66-72
- Integrating Classification and Association Rule MiningBing Liu, Wynne Hsu, Yiming Ma. 80-86
- Evaluating Usefulness for Dynamic ClassificationGholamreza Nakhaeizadeh, Charles Taylor, Carsten Lanquillon. 87-93
- A Belief-Driven Method for Discovering Unexpected PatternsBalaji Padmanabhan, Alexander Tuzhilin. 94-100
- Interpretable Boosted Naïve Bayes ClassificationGreg Ridgeway, David Madigan, Thomas Richardson, John O Kane. 101-104
- A Data Mining Support Environment and its Application on Insurance DataMartin Staudt, Jörg-Uwe Kietz, Ulrich Reimer. 105-111
- Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional DataEvan W. Steeg, Derek A. Robinson, Ed Willis. 112-120
- Interestingness-Based Interval Merger for Numeric Association RulesKe Wang, Soon Hock William Tay, Bing Liu. 121-128
- Online Generation of Profile Association RulesCharu C. Aggarwal, Zheng Sun, Philip S. Yu. 129-133
- ADtrees for Fast Counting and for Fast Learning of Association RulesBrigham S. Anderson, Andrew W. Moore. 134-138
- Direct Marketing Response Models Using Genetic AlgorithmsSiddhartha Bhattacharyya. 144-148
- Mining Association Rules in Hypertext DatabasesJosé Borges, Mark Levene. 149-153
- Blurring the Distinction between Command and Data in Scientific KDDJohn V. Carlis, Elizabeth Shoop, Scott Krieger. 154-158
- Probabilistic Modeling for Information Retrieval with Unsupervised Training DataErnest P. Chan, Santiago Garcia, Salim Roukos. 159-163
- Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud DetectionPhilip K. Chan, Salvatore J. Stolfo. 164-168
- Joins that Generalize: Text Classification Using WHIRLWilliam W. Cohen, Haym Hirsh. 169-173
- Giga-MiningCorinna Cortes, Daryl Pregibon. 174-178
- Interactive Interpretation of Kohonen Maps Applied to CurvesAnne Debregeas, Georges Hébrail. 179-183
- FlexiMine - A Flexible Platform for KDD Research and Application ConstructionCarmel Domshlak, D. Gershkovich, Ehud Gudes, N. Liusternik, Amnon Meisels, Tzachi Rosen, Solomon Eyal Shimony. 184-188
- A Fast Computer Intrusion Detection Algorithm Based on Hypothesis Testing of Command Transition ProbabilitiesWilliam DuMouchel, Matthias Schonlau. 189-193
- Initialization of Iterative Refinement Clustering AlgorithmsUsama M. Fayyad, Cory Reina, Paul S. Bradley. 194-198
- Mining in the Presence of Selectivity Bias and its Application to Reject InferenceA. J. Feelders, Soong Chang, Geoffrey J. McLachlan. 199-203
- On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL DatabasesGoetz Graefe, Usama M. Fayyad, Surajit Chaudhuri. 204-208
- Coactive Learning for Distributed Data MiningDan L. Grecu, Lee A. Becker. 209-213
- Mining Segment-Wise Periodic Patterns in Time-Related DatabasesJiawei Han, Wan Gong, Yiwen Yin. 214-218
- Learning to Predict the Duration of an Automobile TripSimon Handley, Pat Langley, Folke A. Rauscher. 219-223
- Fast Computation of 2-Dimensional Depth ContoursTheodore Johnson, Ivy Kwok, Raymond T. Ng. 224-228
- Comparing Massive High-Dimensional Data SetsTheodore Johnson, Tamraparni Dasu. 229-233
- Defining the Goals to Optimise Data Mining PerformanceMark G. Kelly, David J. Hand, Niall M. Adams. 234-238
- An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance FeedbackEamonn J. Keogh, Michael J. Pazzani. 239-243
- Active Templates: Comprehensive Support for the Knowledge Discovery ProcessRandy Kerber, Hal Beck, Tej Anand, Bill Smart. 244-248
- Targeting Business Users with Decision Table ClassifiersRon Kohavi, Dan Sommerfield. 249-253
- BAYDA: Software for Bayesian Classification and Feature SelectionPetri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri. 254-258
- Approaches to Online Learning and Concept Drift for User Identification in Computer SecurityTerran Lane, Carla E. Brodley. 259-263
- Human Performance on Clustering Web Pages: A Preliminary StudySofus A. Macskassy, Arunava Banerjee, Brian D. Davison, Haym Hirsh. 264-268
- Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in DatabasesSally I. McClean, Bryan W. Scotney, Mary Shapcott. 269-273
- Discovering Predictive Association RulesNimrod Megiddo, Ramakrishnan Srikant. 274-278
- Group Bitmap Index: A Structure for Association Rules RetrievalTadeusz Morzy, Maciej Zakrzewicz. 284-288
- Towards the Personalization of Algorithms Evaluation in Data MiningGholamreza Nakhaeizadeh, Alexander Schnabl. 289-293
- Large Datasets Lead to Overly Complex Models: An Explanation and a SolutionTim Oates, David Jensen. 294-298
- Analysing Rock Samples for the Mars LanderJonathan J. Oliver, Ted Roush, Paul Gazis, Wray L. Buntine, Rohan A. Baxter, Steven R. Waterhouse. 299-303
- Memory Placement Techniques for Parallel Association MiningSrinivasan Parthasarathy, Mohammed Javeed Zaki, Wei Li. 304-308
- Methods for Linking and Mining Massive Heterogeneous DatabasesJosé C. Pinheiro, Don X. Sun. 309-313
- Mining Databases with Different Schemas: Integrating Incompatible ClassifiersAndreas L. Prodromidis, Salvatore J. Stolfo. 314-318
- Time Series Forecasting from High-Dimensional Data with Multiple Adaptive LayersR. Bharat Rao, Scott Rickard, Frans Coetzee. 319-323
- Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification PerformanceSaharon Rosset. 324-328
- A Robust System Architecture for Mining Semi-Structured DataLisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann, Kiyoko Aoki. 329-333
- Defining ::::diff:::: as a Data Mining PrimitiveRamesh Subramonian. 334-338
- Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in DatabasesEinoshin Suzuki. 339-343
- Mining Generalized Association Rules and Sequential Patterns Using SQL QueriesShiby Thomas, Sunita Sarawagi. 344-348
- Data Reduction Based on Hyper RelationsHui Wang, Ivo Düntsch, David A. Bell. 349-353
- Discovering Technical Traders in the T-bond Futures MarketAndreas S. Weigend, Fei Chen, Stephen Figlewski, Steven R. Waterhouse. 354-358
- Learning to Predict Rare Events in Event SequencesGary M. Weiss, Haym Hirsh. 359-363
- Daily Prediction of Major Stock Indices from Textual WWW DataBeat Wüthrich, D. Permunetilleke, S. Leung, Vincent Cho, Jian Zhang, W. Lam. 364-368
- PlanMine: Sequence Mining for Plan FailuresMohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara. 369-374
- Knowledge Discovery and the Interface of Computing and StatisticsArnold Goodman, John F. Elder IV. 375-378