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Conferences in DBLP

Knowledge Discovery and Data Mining (KDD) (kdd)
1996 (conf/kdd/96)

  1. Philip K. Chan, Salvatore J. Stolfo
    Sharing Learned Models among Remote Database Partitions by Local Meta-Learning. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:2-7 [Conf]
  2. Tom Fawcett, Foster J. Provost
    Combining Data Mining and Machine Learning for Effective User Profiling. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:8-13 [Conf]
  3. Truxton Fulton, Simon Kasif, Steven Salzberg, David L. Waltz
    Local Induction of Decision Trees: Towards Interactive Data Mining. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:14-19 [Conf]
  4. Ivo L. Hofacker, Martijn A. Huynen, Peter F. Stadler, Paul E. Stolorz
    Knowledge Discovery in RNA Sequence Families of HIV Using Scalable Computers. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:20-25 [Conf]
  5. David W. Pfitzner, John K. Salmon
    Parallel Halo Finding in N-Body Cosmology Simulations. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:26-31 [Conf]
  6. Eddie C. Shek, Richard R. Muntz, Edmond Mesrobian, Kenneth W. Ng
    Scalable Exploratory Data Mining of Distributed Geoscientific Data. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:32-37 [Conf]
  7. Victor Ciesielski, Gregory Palstra
    Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:38-43 [Conf]
  8. Beatriz de la Iglesia, Justin C. W. Debuse, Victor J. Rayward-Smith
    Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:44-49 [Conf]
  9. Usama M. Fayyad, David Haussler, Paul E. Stolorz
    KDD for Science Data Analysis: Issues and Examples. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:50-56 [Conf]
  10. Gregory M. Provan, Moninder Singh
    Data Mining and Model Simplicity: A Case Study in Diagnosis. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:57-62 [Conf]
  11. Shusaku Tsumoto, Hiroshi Tanaka
    Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:63-69 [Conf]
  12. Jason Tsong-Li Wang, Bruce A. Shapiro, Dennis Shasha, Kaizhong Zhang, Chia-Yo Chang
    Automated Discovery of Active Motifs in Multiple RNA Secondary Structures. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:70-75 [Conf]
  13. Rüdiger Wirth, Thomas P. Reinartz
    Detecting Early Indicator Cars in an Automotive Database: A Multi-Strategy Approach. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:76-81 [Conf]
  14. Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
    Knowledge Discovery and Data Mining: Towards a Unifying Framework. [Citation Graph (3, 0)][DBLP]
    KDD, 1996, pp:82-88 [Conf]
  15. Gregory Piatetsky-Shapiro, Ronald J. Brachman, Tom Khabaza, Willi Klösgen, Evangelos Simoudis
    An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:89-95 [Conf]
  16. Pedro Domingos
    Linear-Time Rule Induction. [Citation Graph (2, 0)][DBLP]
    KDD, 1996, pp:96-101 [Conf]
  17. A. J. Feelders
    Learning from Biased Data Using Mixture Models. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:102-107 [Conf]
  18. Andreas Ittner, Michael Schlosser
    Discovery of Relevant New Features by Generating Non-Linear Decision Trees. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:108-113 [Conf]
  19. Ron Kohavi, Mehran Sahami
    Error-Based and Entropy-Based Discretization of Continuous Features. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:114-119 [Conf]
  20. Ron Musick
    Rethinking the Learning of Belief Network Probabilities. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:120-125 [Conf]
  21. Padhraic Smyth
    Clustering Using Monte Carlo Cross-Validation. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:126-133 [Conf]
  22. Paul E. Stolorz, Philip C. Chew
    Harnessing Graphical Structure in Markov Chain Monte Carlo Learning. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:134-139 [Conf]
  23. Kamakshi Lakshminarayan, Steven A. Harp, Robert P. Goldman, Tariq Samad
    Imputation of Missing Data Using Machine Learning Techniques. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:140-145 [Conf]
  24. Heikki Mannila, Hannu Toivonen
    Discovering Generalized Episodes Using Minimal Occurrences. [Citation Graph (6, 0)][DBLP]
    KDD, 1996, pp:146-151 [Conf]
  25. Wei-Min Shen, Bing Leng
    Metapattern Generation for Integrated Data Mining. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:152-157 [Conf]
  26. Jan M. Zytkow, Robert Zembowicz
    Automated Pattern Mining with a Scale Dimension. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:158-163 [Conf]
  27. Andreas Arning, Rakesh Agrawal, Prabhakar Raghavan
    A Linear Method for Deviation Detection in Large Databases. [Citation Graph (10, 0)][DBLP]
    KDD, 1996, pp:164-169 [Conf]
  28. Robert Engels
    Planning Tasks for Knowledge Discovery in Databases; Performing Task-Oriented User-Guidance. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:170-175 [Conf]
  29. Petri Kontkanen, Petri Myllymäki, Henry Tirri
    Predictive Data Mining with Finite Mixtures. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:176-182 [Conf]
  30. Rense Lange
    An Empirical Test of the Weighted Effect Approach to Generalized Prediction Using Recursive Neural Nets. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:183-188 [Conf]
  31. Heikki Mannila, Hannu Toivonen
    Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract). [Citation Graph (2, 0)][DBLP]
    KDD, 1996, pp:189-194 [Conf]
  32. Brij M. Masand, Gregory Piatetsky-Shapiro
    A Comparison of Approaches for Maximizing Business Payoff of Prediction Models. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:195-201 [Conf]
  33. Ron Kohavi
    Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:202-207 [Conf]
  34. Paul E. Stolorz, Christopher Dean
    Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:208-213 [Conf]
  35. Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde
    Extensibility in Data Mining Systems. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:214-219 [Conf]
  36. Andrzej Czyzewski
    Mining Knowledge in Noisy Audio Data. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:220-225 [Conf]
  37. Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
    A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. [Citation Graph (27, 0)][DBLP]
    KDD, 1996, pp:226-231 [Conf]
  38. Kenneth A. Kaufman, Ryszard S. Michalski
    A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:232-237 [Conf]
  39. Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen
    Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration. [Citation Graph (2, 0)][DBLP]
    KDD, 1996, pp:238-243 [Conf]
  40. Rakesh Agrawal, Manish Mehta, John C. Shafer, Ramakrishnan Srikant, Andreas Arning, Toni Bollinger
    The Quest Data Mining System. [Citation Graph (5, 0)][DBLP]
    KDD, 1996, pp:244-249 [Conf]
  41. Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzysztof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic, Betty Xia, Osmar R. Zaïane
    DBMiner: A System for Mining Knowledge in Large Relational Databases. [Citation Graph (7, 0)][DBLP]
    KDD, 1996, pp:250-255 [Conf]
  42. Tomasz Imielinski, Aashu Virmani, Amin Abdulghani
    DataMine: Application Programming Interface and Query Language for Database Mining. [Citation Graph (5, 0)][DBLP]
    KDD, 1996, pp:256-262 [Conf]
  43. Micheline Kamber, Rajjan Shinghal
    Evaluating the Interestingness of Characteristic Rules. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:263-266 [Conf]
  44. Alvaro E. Monge, Charles Elkan
    The Field Matching Problem: Algorithms and Applications. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:267-270 [Conf]
  45. Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone
    Discovering Classification Knowledge in Databases Using Rough Sets. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:271-274 [Conf]
  46. Einoshin Suzuki, Masamichi Shimura
    Exceptional Knowledge Discovery in Databases Based on Information Theory. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:275-278 [Conf]
  47. Takao Terano, Yoko Ishino
    Interactive Knowledge Discovery from Marketing Questionnaire Using Simulated Breeding and Inductive Learning Methods. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:279-282 [Conf]
  48. Yang Wang, Andrew K. C. Wong
    Representing Discovered Patterns Using Attributed Hypergraph. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:283-286 [Conf]
  49. Rakesh Agrawal, Kyuseok Shim
    Developing Tightly-Coupled Data Mining Applications on a Relational Database System. [Citation Graph (7, 0)][DBLP]
    KDD, 1996, pp:287-290 [Conf]
  50. M. Ganesh, Jaideep Srivastava, Travis Richardson
    Mining Entity-Identification Rules for Database Integration. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:291-294 [Conf]
  51. Don R. Swanson, Neil R. Smalheiser
    Undiscovered Public Knowledge: A Ten-Year Update. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:295-298 [Conf]
  52. Ian W. Flockhart, Nicholas J. Radcliffe
    A Genetic Algorithm-Based Approach to Data Mining. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:299-302 [Conf]
  53. Tae-Wan Ryu, Christoph F. Eick
    Deriving Queries from Results Using Genetic Programming. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:303-306 [Conf]
  54. David Wai-Lok Cheung, Vincent T. Y. Ng, Benjamin W. Tam
    Maintenance of Discovered Knowledge: A Case in Multi-Level Association Rules. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:307-310 [Conf]
  55. Arno J. Knobbe, Pieter W. Adriaans
    Analysing Binary Associations. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:311-314 [Conf]
  56. Kevin J. Cherkauer, Jude W. Shavlik
    Growing Simpler Decision Trees to Facilitate Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:315-318 [Conf]
  57. Pedro Domingos
    Efficient Specific-to-General Rule Induction. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:319-322 [Conf]
  58. Robert L. Grossman, Haim Bodek, Dave Northcutt, Vince Poor
    Data Mining and Tree-Based Optimization. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:323-326 [Conf]
  59. Pat Langley
    Induction of Condensed Determinations. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:327-330 [Conf]
  60. Ron Rymon
    SE-Trees Outperform Decision Trees in Noisy Domains. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:331-334 [Conf]
  61. Mehran Sahami
    Learning Limited Dependence Bayesian Classifiers. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:335-338 [Conf]
  62. David Urpani, Xindong Wu, Jim Sykes
    RITIO - Rule Induction Two In One. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:339-342 [Conf]
  63. Ronen Feldman, Haym Hirsh
    Mining Associations in Text in the Presence of Background Knowledge. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:343-346 [Conf]
  64. Edwin M. Knorr, Raymond T. Ng
    Extraction of Spatial Proximity Patterns by Concept Generalization. [Citation Graph (3, 0)][DBLP]
    KDD, 1996, pp:347-350 [Conf]
  65. Balaji Padmanabhan, Alexander Tuzhilin
    Pattern Discovery in Temporal Databases: A Temporal Logic Approach. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:351-354 [Conf]
  66. John M. Aronis, Foster J. Provost, Bruce G. Buchanan
    Exploiting Background Knowledge in Automated Discovery. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:355-358 [Conf]
  67. Gerald Fahner
    Data Mining with Sparse and Simplified Interaction Selection. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:359-362 [Conf]
  68. Thomas Hofmann, Joachim M. Buhmann
    Inferring Hierarchical Clustering Structures by Deterministic Annealing. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:363-366 [Conf]
  69. George H. John, Pat Langley
    Static Versus Dynamic Sampling for Data Mining. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:367-370 [Conf]
  70. Stefan Kramer, Bernhard Pfahringer
    Efficient Search for Strong Partial Determinations. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:371-374 [Conf]
  71. Stephen McKearney, Huw Roberts
    Reverse Engineering Databases for Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:375-378 [Conf]
  72. Marco Richeldi, Pier Luca Lanzi
    Performing Effective Feature Selection by Investigating the Deep Structure of the Data. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:379-383 [Conf]
  73. Georges G. Grinstein
    Harnessing the Human in Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:384-385 [Conf]
  74. Jeffrey D. Ullman
    Efficient Implementation of Data Cubes Via Materialized Views. [Citation Graph (4, 0)][DBLP]
    KDD, 1996, pp:386-388 [Conf]
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