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DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 10 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
QEST
2005
IEEE
16 years 2 days ago
iLTLChecker: A Probabilistic Model Checker for Multiple DTMCs
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
YoungMin Kwon, Gul A. Agha
ICDE
2001
IEEE
163views Database» more  ICDE 2001»
16 years 7 months ago
MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases
We present a new algorithm for mining maximal frequent itemsets from a transactional database. Our algorithm is especially efficient when the itemsets in the database are very lon...
Douglas Burdick, Manuel Calimlim, Johannes Gehrke
DIS
2007
Springer
16 years 20 days ago
Literature Based Discovery Support System and Its Application to Disease Gene Identification
We present an interactive discovery support system, which for a given starting concept of interest, discovers new, potentially meaningful relations with other concepts that have no...
Dimitar Hristovski, Borut Peterlin, Saso Dzeroski,...
PKDD
2007
Springer
196views Data Mining» more  PKDD 2007»
16 years 18 days ago
Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering
A relevance filter is proposed which removes features based on the mutual information between class labels and features. It is proven that both feature independence and class condi...
Gert Van Dijck, Marc M. Van Hulle