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Conferences in DBLP

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (pakdd)
1999 (conf/pakdd/1999)

  1. Won Kim
    KDD as an Enterprise IT Tool: Reality and Agenda (Abstract). [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:1- [Conf]
  2. Hiroshi Motoda
    Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract). [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:2- [Conf]
  3. Zdzislaw Pawlak
    Data Mining - a Rough Set Perspective. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:3-12 [Conf]
  4. Charu C. Aggarwal, Philip S. Yu
    Data Mining Techniques for Associations, Clustering and Classification. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:13-23 [Conf]
  5. Tsau Young Lin
    Data Mining: Granular Computing Approach. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:24-33 [Conf]
  6. Hiroshi Tsukimoto
    Rule Extraction from Prediction Models. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:34-43 [Conf]
  7. Xiaoyong Du, Zhibin Liu, Naohiro Ishii
    Mining Association Rules on Related Numeric Attributes. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:44-53 [Conf]
  8. Chi Lap Yip, K. K. Loo, Ben Kao, David Wai-Lok Cheung, C. K. Cheng
    LGen - A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:54-63 [Conf]
  9. Karthick Rajamani, Sam Yuan Sung, Alan L. Cox
    Extending the Applicability of Association Rules. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:64-73 [Conf]
  10. Pauray S. M. Tsai, Chih-Chong Lee, Arbee L. P. Chen
    An Efficient Approach for Incremental Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:74-83 [Conf]
  11. Marzena Kryszkiewicz
    Association Rules in Incomplete Databases. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:84-93 [Conf]
  12. Iko Pramudiono, Takahiko Shintani, Takayuki Tamura, Masaru Kitsuregawa
    Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:94-98 [Conf]
  13. Yuping Yang, Mukesh Singhal
    H-Rule Mining in Heterogeneous Databases. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:99-103 [Conf]
  14. Aoying Zhou, Shuigeng Zhou, Wen Jin, Zengping Tian
    An Improved Definition of Multidimensional Inter-transaction Association Rule. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:104-108 [Conf]
  15. Keyun Hu, Yuchang Lu, Chunyi Shi
    Incremental Discovering Association Rules: A Concept Lattice Approach. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:109-113 [Conf]
  16. Xindong Wu
    Induction as Pre-processing. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:114-122 [Conf]
  17. Zijian Zheng, Geoffrey I. Webb
    Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:123-132 [Conf]
  18. Yiyu Yao, S. K. Michael Wong, Cory J. Butz
    On Information-Theoretic Measures of Attribute Importance. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:133-137 [Conf]
  19. Kee-Cheol Lee
    A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:138-142 [Conf]
  20. Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda
    A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:143-147 [Conf]
  21. Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann
    An Algorithm for Constrained Association Rule Mining in Semi-structured Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:148-158 [Conf]
  22. Aoying Zhou, Wen Jin, Shuigeng Zhou, Zengping Tian
    Incremental Mining of Schema for Semistructured Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:159-168 [Conf]
  23. Mon-Fong Jiang, Shian-Shyong Tseng, Chang-Jiun Tsai
    Discovering Structure from Document Databases. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:169-173 [Conf]
  24. Vincent Cho, Beat Wüthrich
    Combining Forecasts from Multiple Textual Data Sources. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:174-178 [Conf]
  25. Xiaofeng Meng, Yong Zhou, Shan Wang
    Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:179-183 [Conf]
  26. Graham J. Williams
    Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:184-193 [Conf]
  27. Huan Liu, Hongjun Lu, Ling Feng, Farhad Hussain
    Efficient Search of Reliable Exceptions. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:194-203 [Conf]
  28. Robert J. Hilderman, Howard J. Hamilton
    Heuristic for Ranking the Interestigness of Discovered Knowledge. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:204-209 [Conf]
  29. Shusaku Tsumoto
    Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:210-219 [Conf]
  30. Zongtian Liu, Zhipeng Xie
    Discernibility System in Rough Sets. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:220-227 [Conf]
  31. Andreas Rauber, Dieter Merkl
    Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:228-237 [Conf]
  32. Ling Zhang, Bo Zhang
    Neural Network Based Classifers for a Vast Amount of Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:238-246 [Conf]
  33. Hércules Antonio do Prado, Karla F. Machado, Sandra R. Frigeri, Paulo Martins Engel
    Accuracy Tuning on Combinatorial Neural Model. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:247-251 [Conf]
  34. Yoshitsugu Kakemoto, Shinichi Nakasuka
    A Situated Information Articulation Neural Network: VSF Network. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:252-257 [Conf]
  35. Chao Deng, Fanlun Xiong
    Neural Method for Detection of Complex Patterns in Databases. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:258-262 [Conf]
  36. Xuemei Shi, Man-chung Chan, Deyi Li
    Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:263-267 [Conf]
  37. Daisuke Shibata, Nobuhiro Inuzuka, Shohei Kato, Tohgoroh Matsui, Hidenori Itoh
    An Induction Algorithm Based on Fuzzy Logic Programming. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:268-273 [Conf]
  38. Shusaku Tsumoto
    Rule Discovery in Databases with Missing Values Based on Rough Set Model. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:274-278 [Conf]
  39. Xuefei Wang, Rusong Wang, Jue Wang
    Sustainability Knowledge Mining from Human Development Database. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:279-283 [Conf]
  40. Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
    Characterization of Default Knowledge in Ripple Down Rules Method. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:284-295 [Conf]
  41. Kai Ming Ting, Zijian Zheng
    Improving the Performance of Boosting for Naive Bayesian Classification. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:296-305 [Conf]
  42. Douglas A. Newlands, Geoffrey I. Webb
    Convex Hulls in Concept Induction. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:306-316 [Conf]
  43. Jianhua Fan, Deyi Li
    Mining Classification Knowledge Based on Cloud Models. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:317-326 [Conf]
  44. Vladimir Estivill-Castro, Michael E. Houle
    Robust Clustering of Large Geo-referenced Data Sets. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:327-337 [Conf]
  45. Bo Zhou, David Wai-Lok Cheung, Ben Kao
    A Fast Algorithm for Density-Based Clustering in Large Database. [Citation Graph (1, 0)][DBLP]
    PAKDD, 1999, pp:338-349 [Conf]
  46. Gabor Melli
    A Lazy Model-Based Algorithm for On-Line Classification. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:350-354 [Conf]
  47. Khaled Alsabti, Sanjay Ranka, Vineet Singh
    An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:355-359 [Conf]
  48. Chih-Ming Su, Shian-Shyong Tseng, Mon-Fong Jiang, Joe C. S. Chen
    A Fast Clustering Process for Outliers and Remainder Clusters. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:360-364 [Conf]
  49. Hongxing He, Simon Hawkins
    Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:365-369 [Conf]
  50. Zijian Zheng, Boon Toh Low
    Classifying Unseen Cases with Many Missing Values. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:370-374 [Conf]
  51. Tu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita
    Study of a Mixed Similarity Measure for Classification and Clustering. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:375-379 [Conf]
  52. Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
    Visually Aided Exploration of Interesting Association Rules. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:380-389 [Conf]
  53. Jianchao Han, Nick Cercone
    DVIZ: A System for Visualizing Data Mining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:390-399 [Conf]
  54. Honghua Dai
    A Minimal Causal Model Learner. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:400-408 [Conf]
  55. K. L. Lee, Guanling Lee, Arbee L. P. Chen
    Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:409-419 [Conf]
  56. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai
    Basket Analysis for Graph Structured Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:420-431 [Conf]
  57. Julian R. Neil, Kevin B. Korb
    The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:432-437 [Conf]
  58. Tetsuhiro Miyahara, Tomoyuki Uchida, Tetsuji Kuboyama, Tasuya Yamamoto, Kenichi Takahashi, Hiroaki Ueda
    KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:438-442 [Conf]
  59. Yike Guo, Janjao Sutiwaraphun
    Probing Knowledge in Distributed Data Mining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:443-452 [Conf]
  60. Zbigniew W. Ras, Jan M. Zytkow
    Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:453-463 [Conf]
  61. Djamel A. Zighed, Myriam Côté, Nader Troudi
    The Data-Mining and the Technology af Agents to Fight the Illicit Electronic Messages. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:464-468 [Conf]
  62. Hongen Lu, Leon Sterling, Alex Wyatt
    Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:469-473 [Conf]
  63. Louis Perrochon, Walter Mann, Stephane Kasriel, David C. Luckham
    Event Mining with Event Processing Networks. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:474-478 [Conf]
  64. Yiyu Yao, Ning Zhong
    An Analysis of Quantitative Measures Associated with Rules. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:479-488 [Conf]
  65. Jingde Cheng
    A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:489-493 [Conf]
  66. Tetsuya Yoshida, Teruyuki Kondo, Shogo Nishida
    Discovering Conceptual Differences among Different People via Diverse Structures. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:494-498 [Conf]
  67. Oscar Ortega Lobo, Masayuki Numao
    Ordered Estimation of Missing Values. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:499-503 [Conf]
  68. Einoshin Suzuki, Toru Ohno
    Prediction Rule Discovery Based on Dynamic Bias Selection. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:504-508 [Conf]
  69. Aijun An, Nick Cercone
    Discretization of Continuous Attributes for Learning Classification Rules. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:509-514 [Conf]
  70. Sadok Ben Yahia, Ali Jaoua
    BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:515-519 [Conf]
  71. Xiaopeng Tao, Ning Wang, Shuigeng Zhou, Aoying Zhou, Yunfa Hu
    Mining Functional Dependency Rule of Relational Database. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:520-524 [Conf]
  72. Rong Jiang, Deyi Li, Hui Chen
    Time-Series Prediction with Cloud Models in DMKD. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:525-529 [Conf]
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