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ORCID5th KDD 1999: San Diego, CA, USA
- Usama M. Fayyad, Surajit Chaudhuri, David Madigan:
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 - Foster J. Provost, David D. Jensen, Tim Oates:
Efficient Progressive Sampling. 23-32 - Valery Guralnik, Jaideep Srivastava:
Event Detection from Time Series Data. 33-42 - 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 - Scott Gaffney, Padhraic Smyth:
Trajectory Clustering with Mixtures of Regression Models. 63-72 - 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 - Seth Rogers, Pat Langley, Christopher Wilson:
Mining GPS Data to Augment Road Models. 104-113 - Wenke Lee, Salvatore J. Stolfo, Kui W. Mok:
Mining in a Data-Flow Environment: Experience in Network Intrusion Detection. 114-124 - Bing Liu, Wynne Hsu, Yiming Ma:
Pruning and Summarizing the Discovered Associations. 125-134 - Sergey Brin, Rajeev Rastogi, Kyuseok Shim:
Mining Optimized Gain Rules for Numeric Attributes. 135-144 - Roberto J. Bayardo Jr., Rakesh Agrawal:
Mining the Most Interesting Rules. 145-154 - Pedro M. Domingos:
MetaCost: A General Method for Making Classifiers Cost-Sensitive. 155-164 - Dimitris Meretakis, Beat Wüthrich:
Extending Naïve Bayes Classifiers Using Long Itemsets. 165-174 - Francesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi:
A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection. 175-184 - Gregory Piatetsky-Shapiro, Brij M. Masand:
Estimating Campaign Benefits and Modeling Lift. 185-193 - 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 - Jef Wijsen, Raymond T. Ng, Toon Calders:
Discovering Roll-Up Dependencies. 213-222 - 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 - Yonatan Aumann, Yehuda Lindell:
A Statistical Theory for Quantitative Association Rules. 261-270 - 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 - Yun-Wu Huang, Philip S. Yu:
Adaptive Query Processing for Time-Series Data. 282-286 - 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 (David) Lin, Dennis E. 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 - Bing Liu, Wynne Hsu, Yiming Ma:
Mining Association Rules with Multiple Minimum Supports. 337-341 - 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 - Scott Davies, Andrew W. Moore:
Bayesian Networks for Lossless Dataset Compression. 387-391 - 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 - Mark Shewhart, Mark Wasson:
Monitoring a Newsfeed for Hot Topics. 402-404 - Jen Que Louie, Tom Kraay:
Origami: A New Data Visualization Tool. 405-408 - 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 - Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen:
Mining Interesting Knowledge Using DM-II. 430-434
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