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» A Meta Model for Process Mining Data
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KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 4 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 1 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
MM
2010
ACM
127views Multimedia» more  MM 2010»
15 years 3 months ago
Mining and cropping common objects from images
Discovering common objects that appear frequently in a number of images is a challenging problem, due to (1) the appearance variations of the same common object and (2) the enormo...
Gangqiang Zhao, Junsong Yuan
KDD
2000
ACM
147views Data Mining» more  KDD 2000»
15 years 7 months ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...
RAID
1999
Springer
15 years 7 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo