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Note: Links lead to the DBLP on the Web. Einoshin Suzuki Ning Zhong , Zbigniew W. Ras , Shusaku Tsumoto , Einoshin Suzuki: Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings Springer 2003 Jérôme Maloberti , Einoshin Suzuki: Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates. Discovery Science 2003 : 220-232 Einoshin Suzuki, Takeshi Watanabe , Hideto Yokoi , Katsuhiko Takabayashi : Detecting Interesting Exceptions from Medical Test Data with Visual Summarization. ICDM 2003 : 315-322 Yuu Yamada , Einoshin Suzuki, Hideto Yokoi , Katsuhiko Takabayashi : Decision-tree Induction from Time-series Data Based on a Standard-example Split Test. ICML 2003 : 840-847 Masaki Narahashi , Einoshin Suzuki: Detecting Hostile Accesses through Incremental Subspace Clustering. Web Intelligence 2003 : 337-343 Masaki Narahashi , Einoshin Suzuki: Subspace Clustering Based on Compressibility. Discovery Science 2002 : 435-440 Fumio Takechi , Einoshin Suzuki: Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction. ICML 2002 : 618-625 Shutaro Inatani , Einoshin Suzuki: Data Squashing for Speeding Up Boosting-Based Outlier Detection. ISMIS 2002 : 601-612 Yuta Choki , Einoshin Suzuki: Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance. PKDD 2002 : 86-98 Einoshin Suzuki: In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules. Progress in Discovery Science 2002 : 504-517 Einoshin Suzuki: Undirected Discovery of Interesting Exception Rules. IJPRAI 16 (8): 1065-1086 (2002) Einoshin Suzuki: Worst-Case Analysis of Rule Discovery. Discovery Science 2001 : 365-377 Einoshin Suzuki, Masafumi Gotoh , Yuta Choki : Bloomy Decision Tree for Multi-objective Classification. PKDD 2001 : 436-447 Einoshin Suzuki: Issues in Organizing a Successful Knowledge Discovery Contest. Discovery Science 2000 : 282-284 Einoshin Suzuki, Shusaku Tsumoto : Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. PAKDD 2000 : 208-211 Farhad Hussain , Huan Liu , Einoshin Suzuki, Hongjun Lu : Exception Rule Mining with a Relative Interestingness Measure. PAKDD 2000 : 86-97 Einoshin Suzuki, Jan M. Zytkow : Unified Algorithm for Undirected Discovery of Execption Rules. PKDD 2000 : 169-180 David Ramamonjisoa , Einoshin Suzuki, Issam A. Hamid : Research Topics Discovery from WWW by Keywords Association Rules. Rough Sets and Current Trends in Computing 2000 : 412-419 Einoshin Suzuki: Scheduled Discovery of Exception Rules. Discovery Science 1999 : 184-195 Shinsuke Sugaya , Einoshin Suzuki: Normal Form Transformation for Object Recognition Based on Support Vector Machines. Discovery Science 1999 : 306-315 Einoshin Suzuki, Toru Ohno : Prediction Rule Discovery Based on Dynamic Bias Selection. PAKDD 1999 : 504-508 Shinsuke Sugaya , Einoshin Suzuki, Shusaku Tsumoto : Support Vector Machines for Knowledge Discovery. PKDD 1999 : 561-567 Einoshin Suzuki, Hiroki Ishihara : Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density. RSFDGrC 1999 : 414-422 Einoshin Suzuki: Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases. KDD 1998 : 339-343 Einoshin Suzuki, Yves Kodratoff : Discovery of Surprising Exception Rules Based on Intensity of Implication. PKDD 1998 : 10-18 Einoshin Suzuki: Autonomous Discovery of Reliable Exception Rules. KDD 1997 : 259-262 Einoshin Suzuki, Masamichi Shimura : Exceptional Knowledge Discovery in Databases Based on Information Theory. KDD 1996 : 275-278 Pierre Morizet-Mahoudeaux , Einoshin Suzuki, Setsuo Ohsuga : Knowledge-Based Handling of Design Expertise. ICDE 1994 : 368-374 1 [ 16 ] [ 20 ] 2 [ 16 ] 3 [ 11 ] 4 [ 13 ] 5 [ 21 ] 6 [ 6 ] 7 [ 4 ] 8 [ 13 ] 9 [ 13 ] 10 [ 27 ] 11 [ 1 ] 12 [ 23 ] [ 24 ] 13 [ 8 ] 14 [ 1 ] 15 [ 11 ] 16 [ 28 ] 17 [ 2 ] 18 [ 7 ] [ 9 ] 19 [ 25 ] [ 26 ] 20 [ 22 ] 21 [ 7 ] [ 14 ] [ 28 ] 22 [ 26 ] 23 [ 25 ] 24 [ 25 ] [ 26 ] 25 [ 28 ] 26 [ 12 ]  ©2004 Association for Computing Machinery |
