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ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 11 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
14 years 2 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
CIDM
2009
IEEE
14 years 5 months ago
An improved multiple minimum support based approach to mine rare association rules
Abstract—In this paper we have proposed an improved approach to extract rare association rules. Rare association rules are the association rules containing rare items. Rare items...
R. Uday Kiran, P. Krishna Reddy
SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
13 years 1 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
DASFAA
2007
IEEE
159views Database» more  DASFAA 2007»
14 years 4 months ago
Mining Vague Association Rules
In many online shopping applications, traditional Association Rule (AR) mining has limitations as it only deals with the items that are sold but ignores the items that are almost s...
An Lu, Yiping Ke, James Cheng, Wilfred Ng