5. KDD 1999: San Diego, CA, USA
Usama M. Fayyad, Surajit Chaudhuri, David Madigan (Eds.): Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999. ACM 1999 ISBN 1-58113-143-7- Rakesh Agrawal: Data Mining: Crossing the Chasm (Invited talk, Abstract only). 2
- Richard D. Hackathorn: Farming the Web for Systematic Business Intelligence (Invited talk, Abstract only). 3
- Daryl Pregibon: 2001: A Statistical Odyssey (Invited talk, Abstract only). 4
- William DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon: Squashing Flat Files Flatter. 6-15
- Bjornar Larsen, Chinatsu Aone: Fast and Effective Text Mining Using Linear-Time Document Clustering. 16-22
- Guozhu Dong, Jinyan Li: Efficient Mining of Emerging Patterns: Discovering Trends and Differences. 43-52
- Tom Fawcett, Foster J. Provost: Activity Monitoring: Noticing Interesting Changes in Behavior. 53-62
- Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan: CACTUS - Clustering Categorical Data Using Summaries. 73-83
- Chun Hung Cheng, Ada Wai-Chee Fu, Yi Zhang: Entropy-based Subspace Clustering for Mining Numerical Data. 84-93
- D. R. Mani, James Drew, Andrew Betz, Piew Datta: Statistics and Data Mining Techniques for Lifetime Value Modeling. 94-103
- Wenke Lee, Salvatore J. Stolfo, Kui W. Mok: Mining in a Data-Flow Environment: Experience in Network Intrusion Detection. 114-124
- Sergey Brin, Rajeev Rastogi, Kyuseok Shim: Mining Optimized Gain Rules for Numeric Attributes. 135-144
- Pedro Domingos: MetaCost: A General Method for Making Classifiers Cost-Sensitive. 155-164
- Francesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi: A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection. 175-184
- William J. E. Potts: Generalized Additive Neural Networks. 194-200
- Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu: Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. 201-212
- Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S. Bradley: Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions. 223-232
- Kristin P. Bennett, Usama M. Fayyad, Dan Geiger: Density-Based Indexing for Approximate Nearest-Neighbor Queries. 233-243
- Biswadeep Nag, Prasad Deshpande, David J. DeWitt: Using a Knowledge Cache for Interactive Discovery of Association Rules. 244-253
- Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets: Using Association Rules for Product Assortment Decisions: A Case Study. 254-260
- Nadeem Ahmed Syed, Huan Liu, Kah Kay Sung: A Study of Support Vectors on Model Independent Example Selection. 272-276
- Dan Pelleg, Andrew W. Moore: Accelerating Exact k-means Algorithms with Geometric Reasoning. 277-281
- Necip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arkun: An Efficient Algorithm to Update Large Itemsets with Early Pruning. 287-291
- Jesús Cerquides: Applying General Bayesian Techniques to Improve TAN Induction. 292-296
- Anthony K. H. Tung, Hongjun Lu, Jiawei Han, Ling Feng: Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules. 297-301
- Stephen D. Bay, Michael J. Pazzani: Detecting Change in Categorical Data: Mining Contrast Sets. 302-306
- Jason Tsong-Li Wang, Xiong Wang, King-Ip Lin, Dennis Shasha, Bruce A. Shapiro, Kaizhong Zhang: Evaluating a Class of Distance-Mapping Algorithms for Data Mining and Clustering. 307-311
- Tian Zhang, Raghu Ramakrishnan, Miron Livny: Fast Density Estimation Using CF-Kernel for Very Large Databases. 312-316
- Nadeem Ahmed Syed, Huan Liu, Kah Kay Sung: Handling Concept Drifts in Incremental Learning with Support Vector Machines. 317-321
- Tim Oates: Identifying Distinctive Subsequences in Multivariate Time Series by Clustering. 322-326
- Corinna Cortes, Daryl Pregibon: Information Mining Platforms: An Infrastructure for KDD Rapid Deployment. 327-331
- Sigal Sahar: Interestingness via What is Not Interesting. 332-336
- Neal Lesh, Mohammed Javeed Zaki, Mitsunori Ogihara: Mining Features for Sequence Classification. 342-346
- Vasileios Megalooikonomou, Christos Davatzikos, Edward Herskovits: Mining Lesion-Deficit Associations in a Brain Image Database. 347-351
- Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu: On the Merits of Building Categorization Systems by Supervised Clustering. 352-356
- Heikki Mannila, Dmitry Pavlov, Padhraic Smyth: Prediction with Local Patterns using Cross-Entropy. 357-361
- Wei Fan, Salvatore J. Stolfo, Junxin Zhang: The Application of AdaBoost for Distributed, Scalable and On-Line Learning. 362-366
- Mark G. Kelly, David J. Hand, Niall M. Adams: The Impact of Changing Populations on Classifier Performance. 367-371
- Wray L. Buntine, Bernd Fischer, Thomas Pressburger: Towards Automated Synthesis of Data Mining Programs. 372-376
- Gediminas Adomavicius, Alexander Tuzhilin: User Profiling in Personalization Applications Through Rule Discovery and Validation. 377-381
- Daniel Barbará, Xintao Wu: Using Approximations to Scale Exploratory Data Analysis in Datacubes. 382-386
- Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel: Visual Classification: An Interactive Approach to Decision Tree Construction. 392-396
- Jochen Dörre, Peter Gerstl, Roland Seiffert: Text Mining: Finding Nuggets in Mountains of Textual Data. 398-401
- Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak Idan, Gadi Pinkas: Discovery of Fraud Rules for Telecommunications - Challenges and Solutions. 409-413
- H. Kauderer, Gholamreza Nakhaeizadeh, F. Artiles, H. Jeromin: Optimization of Collection Efforts in Automobile Financing - a KDD Supported Environment. 414-416
- Edgar Hotz, Gholamreza Nakhaeizadeh, B. Petzsche, H. Spiegelberger: WAPS, a Data Mining Support Environment for the Planning of Warranty and Goodwill Costs in the Automobile Industry. 417-419
- Damianos Chatziantoniou: The PanQ Tool and EMF SQL for Complex Data Management. 420-424
- John Clear, Debbie Dunn, Brad Harvey, Michael L. Heytens, Peter Lohman, Abhay Mehta, Mark Melton, Lars Rohrberg, Ashok Savasere, Robert M. Wehrmeister, Melody Xu: NonStop SQL/MX Primitives for Knowledge Discovery. 425-429
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last updated on 2013-06-17T203403 by the dblp team