Sciweavers

694 search results - page 15 / 139
» An Associative Memory for Association Rule Mining
Sort
View
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
DASFAA
2010
IEEE
232views Database» more  DASFAA 2010»
13 years 12 months ago
Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies
Rare association rule is an association rule consisting of rare items. It is difficult to mine rare association rules with a single minimum support (minsup) constraint because low ...
R. Uday Kiran, P. Krishna Reddy
TKDE
2008
139views more  TKDE 2008»
13 years 7 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 7 months ago
Mining Frequent Itemsets from Secondary Memory
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
Gösta Grahne, Jianfei Zhu
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
14 years 1 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule