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Conferences in DBLP

Knowledge Discovery and Data Mining (KDD) (kdd)
1999 (conf/kdd/99)

  1. Rakesh Agrawal
    Data Mining: Crossing the Chasm (Invited talk, Abstract only). [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:2- [Conf]
  2. Richard D. Hackathorn
    Farming the Web for Systematic Business Intelligence (Invited talk, Abstract only). [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:3- [Conf]
  3. Daryl Pregibon
    2001: A Statistical Odyssey (Invited talk, Abstract only). [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:4- [Conf]
  4. William DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon
    Squashing Flat Files Flatter. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:6-15 [Conf]
  5. Bjornar Larsen, Chinatsu Aone
    Fast and Effective Text Mining Using Linear-Time Document Clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:16-22 [Conf]
  6. Foster J. Provost, David Jensen, Tim Oates
    Efficient Progressive Sampling. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:23-32 [Conf]
  7. Valery Guralnik, Jaideep Srivastava
    Event Detection from Time Series Data. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:33-42 [Conf]
  8. Guozhu Dong, Jinyan Li
    Efficient Mining of Emerging Patterns: Discovering Trends and Differences. [Citation Graph (2, 0)][DBLP]
    KDD, 1999, pp:43-52 [Conf]
  9. Tom Fawcett, Foster J. Provost
    Activity Monitoring: Noticing Interesting Changes in Behavior. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:53-62 [Conf]
  10. Scott Gaffney, Padhraic Smyth
    Trajectory Clustering with Mixtures of Regression Models. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:63-72 [Conf]
  11. Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan
    CACTUS - Clustering Categorical Data Using Summaries. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:73-83 [Conf]
  12. Chun Hung Cheng, Ada Wai-Chee Fu, Yi Zhang
    Entropy-based Subspace Clustering for Mining Numerical Data. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:84-93 [Conf]
  13. D. R. Mani, James Drew, Andrew Betz, Piew Datta
    Statistics and Data Mining Techniques for Lifetime Value Modeling. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:94-103 [Conf]
  14. Seth Rogers, Pat Langley, Christopher Wilson
    Mining GPS Data to Augment Road Models. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:104-113 [Conf]
  15. Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
    Mining in a Data-Flow Environment: Experience in Network Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:114-124 [Conf]
  16. Bing Liu, Wynne Hsu, Yiming Ma
    Pruning and Summarizing the Discovered Associations. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:125-134 [Conf]
  17. Sergey Brin, Rajeev Rastogi, Kyuseok Shim
    Mining Optimized Gain Rules for Numeric Attributes. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:135-144 [Conf]
  18. Roberto J. Bayardo Jr., Rakesh Agrawal
    Mining the Most Interesting Rules. [Citation Graph (2, 0)][DBLP]
    KDD, 1999, pp:145-154 [Conf]
  19. Pedro Domingos
    MetaCost: A General Method for Making Classifiers Cost-Sensitive. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:155-164 [Conf]
  20. Dimitris Meretakis, Beat Wüthrich
    Extending Naïve Bayes Classifiers Using Long Itemsets. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:165-174 [Conf]
  21. Francesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi
    A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:175-184 [Conf]
  22. Gregory Piatetsky-Shapiro, Brij M. Masand
    Estimating Campaign Benefits and Modeling Lift. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:185-193 [Conf]
  23. William J. E. Potts
    Generalized Additive Neural Networks. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:194-200 [Conf]
  24. Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu
    Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:201-212 [Conf]
  25. Jef Wijsen, Raymond T. Ng, Toon Calders
    Discovering Roll-Up Dependencies. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:213-222 [Conf]
  26. Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S. Bradley
    Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions. [Citation Graph (2, 0)][DBLP]
    KDD, 1999, pp:223-232 [Conf]
  27. Kristin P. Bennett, Usama M. Fayyad, Dan Geiger
    Density-Based Indexing for Approximate Nearest-Neighbor Queries. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:233-243 [Conf]
  28. Biswadeep Nag, Prasad Deshpande, David J. DeWitt
    Using a Knowledge Cache for Interactive Discovery of Association Rules. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:244-253 [Conf]
  29. Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    Using Association Rules for Product Assortment Decisions: A Case Study. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:254-260 [Conf]
  30. Yonatan Aumann, Yehuda Lindell
    A Statistical Theory for Quantitative Association Rules. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:261-270 [Conf]
  31. Nadeem Ahmed Syed, Huan Liu, Kah Kay Sung
    A Study of Support Vectors on Model Independent Example Selection. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:272-276 [Conf]
  32. Dan Pelleg, Andrew W. Moore
    Accelerating Exact k-means Algorithms with Geometric Reasoning. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:277-281 [Conf]
  33. Yun-Wu Huang, Philip S. Yu
    Adaptive Query Processing for Time-Series Data. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:282-286 [Conf]
  34. Necip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arkun
    An Efficient Algorithm to Update Large Itemsets with Early Pruning. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:287-291 [Conf]
  35. Jesús Cerquides
    Applying General Bayesian Techniques to Improve TAN Induction. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:292-296 [Conf]
  36. Anthony K. H. Tung, Hongjun Lu, Jiawei Han, Ling Feng
    Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:297-301 [Conf]
  37. Stephen D. Bay, Michael J. Pazzani
    Detecting Change in Categorical Data: Mining Contrast Sets. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:302-306 [Conf]
  38. 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. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:307-311 [Conf]
  39. Tian Zhang, Raghu Ramakrishnan, Miron Livny
    Fast Density Estimation Using CF-Kernel for Very Large Databases. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:312-316 [Conf]
  40. Nadeem Ahmed Syed, Huan Liu, Kah Kay Sung
    Handling Concept Drifts in Incremental Learning with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:317-321 [Conf]
  41. Tim Oates
    Identifying Distinctive Subsequences in Multivariate Time Series by Clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:322-326 [Conf]
  42. Corinna Cortes, Daryl Pregibon
    Information Mining Platforms: An Infrastructure for KDD Rapid Deployment. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:327-331 [Conf]
  43. Sigal Sahar
    Interestingness via What is Not Interesting. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:332-336 [Conf]
  44. Bing Liu, Wynne Hsu, Yiming Ma
    Mining Association Rules with Multiple Minimum Supports. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:337-341 [Conf]
  45. Neal Lesh, Mohammed Javeed Zaki, Mitsunori Ogihara
    Mining Features for Sequence Classification. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:342-346 [Conf]
  46. Vasileios Megalooikonomou, Christos Davatzikos, Edward Herskovits
    Mining Lesion-Deficit Associations in a Brain Image Database. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:347-351 [Conf]
  47. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
    On the Merits of Building Categorization Systems by Supervised Clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:352-356 [Conf]
  48. Heikki Mannila, Dmitry Pavlov, Padhraic Smyth
    Prediction with Local Patterns using Cross-Entropy. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:357-361 [Conf]
  49. Wei Fan, Salvatore J. Stolfo, Junxin Zhang
    The Application of AdaBoost for Distributed, Scalable and On-Line Learning. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:362-366 [Conf]
  50. Mark G. Kelly, David J. Hand, Niall M. Adams
    The Impact of Changing Populations on Classifier Performance. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:367-371 [Conf]
  51. Wray L. Buntine, Bernd Fischer, Thomas Pressburger
    Towards Automated Synthesis of Data Mining Programs. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:372-376 [Conf]
  52. Gediminas Adomavicius, Alexander Tuzhilin
    User Profiling in Personalization Applications Through Rule Discovery and Validation. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:377-381 [Conf]
  53. Daniel Barbará, Xintao Wu
    Using Approximations to Scale Exploratory Data Analysis in Datacubes. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:382-386 [Conf]
  54. Scott Davies, Andrew W. Moore
    Bayesian Networks for Lossless Dataset Compression. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:387-391 [Conf]
  55. Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel
    Visual Classification: An Interactive Approach to Decision Tree Construction. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:392-396 [Conf]
  56. Jochen Dörre, Peter Gerstl, Roland Seiffert
    Text Mining: Finding Nuggets in Mountains of Textual Data. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:398-401 [Conf]
  57. Mark Shewhart, Mark Wasson
    Monitoring a Newsfeed for Hot Topics. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:402-404 [Conf]
  58. Jen Que Louie, Tom Kraay
    Origami: A New Data Visualization Tool. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:405-408 [Conf]
  59. Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak Idan, Gadi Pinkas
    Discovery of Fraud Rules for Telecommunications - Challenges and Solutions. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:409-413 [Conf]
  60. H. Kauderer, Gholamreza Nakhaeizadeh, F. Artiles, H. Jeromin
    Optimization of Collection Efforts in Automobile Financing - a KDD Supported Environment. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:414-416 [Conf]
  61. 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. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:417-419 [Conf]
  62. Damianos Chatziantoniou
    The PanQ Tool and EMF SQL for Complex Data Management. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:420-424 [Conf]
  63. 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. [Citation Graph (1, 0)][DBLP]
    KDD, 1999, pp:425-429 [Conf]
  64. Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen
    Mining Interesting Knowledge Using DM-II. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:430-434 [Conf]
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