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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 1 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
WWW
2006
ACM
14 years 8 months ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
TIST
2011
136views more  TIST 2011»
13 years 2 months ago
Probabilistic models for concurrent chatting activity recognition
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
Jane Yung-jen Hsu, Chia-chun Lian, Wan-rong Jih
ICAC
2009
IEEE
14 years 2 months ago
Multi-perspective evaluation of self-healing systems using simple probabilistic models
In this paper we construct an evaluation framework for a self-healing system, VM-Rejuv – a virtual machine based rejuvenation scheme for web-application servers – using simple...
Rean Griffith, Gail E. Kaiser, Javier Alonso L&oac...
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen