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» Theoretical Frameworks for Data Mining
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SIGMOD
2001
ACM
165views Database» more  SIGMOD 2001»
16 years 4 months ago
Mining System Audit Data: Opportunities and Challenges
Intrusion detection is an essential component of computer security mechanisms. It requires accurate and efficient analysis of a large amount of system and network audit data. It c...
Wenke Lee, Wei Fan
PAKDD
2007
ACM
148views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Mining Frequent Itemsets from Uncertain Data
Abstract. We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions whose items are associated with existential...
Chun Kit Chui, Ben Kao, Edward Hung
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 10 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 9 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
130
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ICDM
2003
IEEE
112views Data Mining» more  ICDM 2003»
15 years 9 months ago
Privacy-preserving Distributed Clustering using Generative Models
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Srujana Merugu, Joydeep Ghosh