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» Constraint-Based Rule Mining in Large, Dense Databases
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ICDE
1999
IEEE
116views Database» more  ICDE 1999»
14 years 6 months ago
Constraint-Based Rule Mining in Large, Dense Databases
Roberto J. Bayardo Jr., Rakesh Agrawal, Dimitrios ...
AUSAI
2003
Springer
13 years 10 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
KDD
2006
ACM
160views Data Mining» more  KDD 2006»
14 years 5 months ago
Coherent closed quasi-clique discovery from large dense graph databases
Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...
Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Ka...
ICDE
2006
IEEE
222views Database» more  ICDE 2006»
14 years 6 months ago
CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
Jianyong Wang, Zhiping Zeng, Lizhu Zhou
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 5 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen