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» Graphical models for data mining
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137
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APSEC
1999
IEEE
15 years 8 months ago
The Quest for Correct Systems: Model Checking of Diagrams and Datatypes
For the practical development of provably correct software for embedded systems the close integration of CASE tools and verification tools is required. This paper describes the co...
Jan Philipps, Oscar Slotosch
136
Voted
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
15 years 9 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...
141
Voted
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 1 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
110
Voted
KDD
2006
ACM
146views Data Mining» more  KDD 2006»
16 years 4 months ago
Structure and evolution of online social networks
In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess ...
Ravi Kumar, Jasmine Novak, Andrew Tomkins
144
Voted
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 8 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung