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ORCIDEinoshin Suzuki
- > Home > Persons > Einoshin Suzuki
Publications
- 2018
[c99]Einoshin Suzuki:
Exploiting Micro-Clusters to Close The Loop in Data-Mining Robots for Human Monitoring. AAAI Spring Symposia 2018- 2015
- [c90]Einoshin Suzuki:
On the Feasibility of Discovering Meta-Patterns from a Data Ensemble. Discovery Science 2015: 266-274 - 2013
- [j16]Einoshin Suzuki:
Special Issue on Discovery Science: Guest Editor's Introduction. Comput. J. 56(3): 271-273 (2013) - 2009
- [c51]Einoshin Suzuki:
Compression-Based Measures for Mining Interesting Rules. IEA/AIE 2009: 741-746 - [c49]Einoshin Suzuki:
Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules. PAKDD 2009: 220-231 - [c48]Einoshin Suzuki:
Discovering Action Rules That Are Highly Achievable from Massive Data. PAKDD 2009: 713-722 - 2008
- [p1]Einoshin Suzuki:
Pitfalls for Categorizations of Objective Interestingness Measures for Rule Discovery. Statistical Implicative Analysis 2008: 383-395 - 2007
- [c45]Einoshin Suzuki:
Peut-on Capturer la Sémantique à Travers la Syntaxe ? - Découverte des Règles d'Exception Simultanée. EGC 2007: 1 - 2006
- [j6]Einoshin Suzuki:
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table. J. Univers. Comput. Sci. 12(6): 627-653 (2006) - 2005
- [j5]Einoshin Suzuki:
Worst Case and a Distribution-Based Case Analyses of Sampling for Rule Discovery Based on Generality and Accuracy. Appl. Intell. 22(1): 29-36 (2005) - 2004
- [c32]Einoshin Suzuki:
Undirected Exception Rule Discovery as Local Pattern Detection. Local Pattern Detection 2004: 207-216 - 2002
- [j3]Einoshin Suzuki:
Undirected Discovery of Interesting Exception Rules. Int. J. Pattern Recognit. Artif. Intell. 16(8): 1065-1086 (2002) - [c22]Einoshin Suzuki:
In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules. Progress in Discovery Science 2002: 504-517 - 2001
- [c17]Einoshin Suzuki:
Worst-Case Analysis of Rule Discovery. Discovery Science 2001: 365-377 - 2000
- [c15]Einoshin Suzuki:
Issues in Organizing a Successful Knowledge Discovery Contest. Discovery Science 2000: 282-284 - 1999
- [c10]Einoshin Suzuki:
Scheduled Discovery of Exception Rules. Discovery Science 1999: 184-195 - 1998
- [c5]Einoshin Suzuki:
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases. KDD 1998: 339-343 - 1997
- [c3]Einoshin Suzuki:
Autonomous Discovery of Reliable Exception Rules. KDD 1997: 259-262
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