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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 12 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
ECIS
2000
15 years 27 days ago
Enhancing Government Decision Making Through Knowledge Discovery from Data
- A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision makers. In a developing country such a...
Herna L. Viktor, Heidi Arndt, Mauritz Oberholzer
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 12 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
PAKDD
2005
ACM
103views Data Mining» more  PAKDD 2005»
15 years 5 months ago
Subgroup Discovery Techniques and Applications
This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explici...
Nada Lavrac
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 3 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...