Abstract is missing.
- Classification and Regression: Money *can* Grow on TreesJohannes Gehrke, Wei-Yin Loh, Raghu Ramakrishnan. 1-73 [doi]
- Farming the Web for Systematic Business Intelligence (Invited talk, Abstract only)Richard D. Hackathorn. 3 [doi]
- 2001: A Statistical Odyssey (Invited talk, Abstract only)Daryl Pregibon. 4 [doi]
- Squashing Flat Files FlatterWilliam DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon. 6-15 [doi]
- Fast and Effective Text Mining Using Linear-Time Document ClusteringBjornar Larsen, Chinatsu Aone. 16-22 [doi]
- Efficient Progressive SamplingFoster J. Provost, David Jensen, Tim Oates. 23-32 [doi]
- Event Detection from Time Series DataValery Guralnik, Jaideep Srivastava. 33-42 [doi]
- Efficient Mining of Emerging Patterns: Discovering Trends and DifferencesGuozhu Dong, Jinyan Li. 43-52 [doi]
- Activity Monitoring: Noticing Interesting Changes in BehaviorTom Fawcett, Foster J. Provost. 53-62 [doi]
- Trajectory Clustering with Mixtures of Regression ModelsScott Gaffney, Padhraic Smyth. 63-72 [doi]
- CACTUS - Clustering Categorical Data Using SummariesVenkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan. 73-83 [doi]
- Scalable Algorithms for Mining Large DatabasesRajeev Rastogi, Kyuseok Shim. 73-140 [doi]
- Entropy-based Subspace Clustering for Mining Numerical DataChun Hung Cheng, Ada Wai-Chee Fu, Yi Zhang. 84-93 [doi]
- Statistics and Data Mining Techniques for Lifetime Value ModelingD. R. Mani, James Drew, Andrew Betz, Piew Datta. 94-103 [doi]
- Mining GPS Data to Augment Road ModelsSeth Rogers, Pat Langley, Christopher Wilson. 104-113 [doi]
- Mining in a Data-Flow Environment: Experience in Network Intrusion DetectionWenke Lee, Salvatore J. Stolfo, Kui W. Mok. 114-124 [doi]
- Pruning and Summarizing the Discovered AssociationsBing Liu, Wynne Hsu, Yiming Ma. 125-134 [doi]
- Mining Optimized Gain Rules for Numeric AttributesSergey Brin, Rajeev Rastogi, Kyuseok Shim. 135-144 [doi]
- Clustering Techniques for Large Data Sets - from the Past to the FutureDaniel A. Keim, Alexander Hinneburg. 141-181 [doi]
- Mining the Most Interesting RulesRoberto J. Bayardo Jr., Rakesh Agrawal. 145-154 [doi]
- Extending Naïve Bayes Classifiers Using Long ItemsetsDimitris Meretakis, Beat Wüthrich. 165-174 [doi]
- A Classification-Based Methodology for Planning Audit Strategies in Fraud DetectionFrancesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi. 175-184 [doi]
- Estimating Campaign Benefits and Modeling LiftGregory Piatetsky-Shapiro, Brij M. Masand. 185-193 [doi]
- Generalized Additive Neural NetworksWilliam J. E. Potts. 194-200 [doi]
- Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative FilteringCharu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu. 201-212 [doi]
- Discovering Roll-Up DependenciesJef Wijsen, Raymond T. Ng, Toon Calders. 213-222 [doi]
- Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous DimensionsJayavel Shanmugasundaram, Usama M. Fayyad, Paul S. Bradley. 223-232 [doi]
- Combining Estimators to Improve PerformanceJohn F. Elder IV, Greg Ridgeway. 237-265 [doi]
- Using a Knowledge Cache for Interactive Discovery of Association RulesBiswadeep Nag, Prasad Deshpande, David J. DeWitt. 244-253 [doi]
- Using Association Rules for Product Assortment Decisions: A Case StudyTom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets. 254-260 [doi]
- A Statistical Theory for Quantitative Association RulesYonatan Aumann, Yehuda Lindell. 261-270 [doi]
- Data Mining by Business Users: Integrating Data Mining in Business ProcessesMarcel Holsheimer. 266-291 [doi]
- A Study of Support Vectors on Model Independent Example SelectionNadeem Ahmed Syed, Huan Liu, Kah Kay Sung. 272-276 [doi]
- Accelerating Exact ::::k::::-means Algorithms with Geometric ReasoningDan Pelleg, Andrew W. Moore. 277-281 [doi]
- Adaptive Query Processing for Time-Series DataYun-Wu Huang, Philip S. Yu. 282-286 [doi]
- An Efficient Algorithm to Update Large Itemsets with Early PruningNecip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arkun. 287-291 [doi]
- Applying General Bayesian Techniques to Improve TAN InductionJesús Cerquides. 292-296 [doi]
- Breaking the Barrier of Transactions: Mining Inter-Transaction Association RulesAnthony K. H. Tung, Hongjun Lu, Jiawei Han, Ling Feng. 297-301 [doi]
- Detecting Change in Categorical Data: Mining Contrast SetsStephen D. Bay, Michael J. Pazzani. 302-306 [doi]
- Evaluating a Class of Distance-Mapping Algorithms for Data Mining and ClusteringJason Tsong-Li Wang, Xiong Wang, King-Ip Lin, Dennis Shasha, Bruce A. Shapiro, Kaizhong Zhang. 307-311 [doi]
- Fast Density Estimation Using CF-Kernel for Very Large DatabasesTian Zhang, Raghu Ramakrishnan, Miron Livny. 312-316 [doi]
- Handling Concept Drifts in Incremental Learning with Support Vector MachinesNadeem Ahmed Syed, Huan Liu, Kah Kay Sung. 317-321 [doi]
- Identifying Distinctive Subsequences in Multivariate Time Series by ClusteringTim Oates. 322-326 [doi]
- Information Mining Platforms: An Infrastructure for KDD Rapid DeploymentCorinna Cortes, Daryl Pregibon. 327-331 [doi]
- Interestingness via What is Not InterestingSigal Sahar. 332-336 [doi]
- Mining Association Rules with Multiple Minimum SupportsBing Liu, Wynne Hsu, Yiming Ma. 337-341 [doi]
- Mining Features for Sequence ClassificationNeal Lesh, Mohammed Javeed Zaki, Mitsunori Ogihara. 342-346 [doi]
- Mining Lesion-Deficit Associations in a Brain Image DatabaseVasileios Megalooikonomou, Christos Davatzikos, Edward Herskovits. 347-351 [doi]
- On the Merits of Building Categorization Systems by Supervised ClusteringCharu C. Aggarwal, Stephen C. Gates, Philip S. Yu. 352-356 [doi]
- Prediction with Local Patterns using Cross-EntropyHeikki Mannila, Dmitry Pavlov, Padhraic Smyth. 357-361 [doi]
- The Impact of Changing Populations on Classifier PerformanceMark G. Kelly, David J. Hand, Niall M. Adams. 367-371 [doi]
- Towards Automated Synthesis of Data Mining ProgramsWray Buntine, Bernd Fischer, Thomas Pressburger. 372-376 [doi]
- User Profiling in Personalization Applications Through Rule Discovery and ValidationGediminas Adomavicius, Alexander Tuzhilin. 377-381 [doi]
- Using Approximations to Scale Exploratory Data Analysis in DatacubesDaniel Barbará, Xintao Wu. 382-386 [doi]
- Bayesian Networks for Lossless Dataset CompressionScott Davies, Andrew W. Moore. 387-391 [doi]
- Visual Classification: An Interactive Approach to Decision Tree ConstructionMihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel. 392-396 [doi]
- Text Mining: Finding Nuggets in Mountains of Textual DataJochen Dörre, Peter Gerstl, Roland Seiffert. 398-401 [doi]
- Origami: A New Data Visualization ToolJen Que Louie, Tom Kraay. 405-408 [doi]
- Discovery of Fraud Rules for Telecommunications - Challenges and SolutionsSaharon Rosset, Uzi Murad, Einat Neumann, Yizhak Idan, Gadi Pinkas. 409-413 [doi]
- Optimization of Collection Efforts in Automobile Financing - a KDD Supported EnvironmentH. Kauderer, Gholamreza Nakhaeizadeh, F. Artiles, H. Jeromin. 414-416 [doi]
- WAPS, a Data Mining Support Environment for the Planning of Warranty and Goodwill Costs in the Automobile IndustryEdgar Hotz, Gholamreza Nakhaeizadeh, B. Petzsche, H. Spiegelberger. 417-419 [doi]
- The PanQ Tool and EMF SQL for Complex Data ManagementDamianos Chatziantoniou. 420-424 [doi]
- NonStop SQL/MX Primitives for Knowledge DiscoveryJohn Clear, Debbie Dunn, Brad Harvey, Michael L. Heytens, Peter Lohman, Abhay Mehta, Mark Melton, Lars Rohrberg, Ashok Savasere, Robert M. Wehrmeister, Melody Xu. 425-429 [doi]
- Mining Interesting Knowledge Using DM-IIBing Liu, Wynne Hsu, Yiming Ma, Shu Chen. 430-434 [doi]