Results 251 to 260 of about 25,851 (312)

Optimization algorithm of association rule mining for heavy-haul railway freight train fault data based on distributed parallel computing.

Sci Prog
Bai Y, Li H, Wang W, Liu S, Zhang N, Zhang C.   +5 more
europepmc   +1 more source

Combined Association Rule Mining

, 2008
This paper proposes an algorithm to discover novel association rules, combined association rules. Compared with conventional association rule, this combined association rule allows users to perform actions directly. Combined association rules are always organized as rule sets, each of which is composed of a number of single combined association rules ...
Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang   +3 more
openaire   +2 more sources

Association Rule Mining

, 2005
Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover
WOON, Yew-Kwong, NG, Wee-Keong, LIM, Ee Peng   +2 more
openaire   +2 more sources

Mining the optimal class association rule set [PDF]

Knowledge-Based Systems, 2002
We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set.
Jiuyong Li, Rodney Topor
exaly   +2 more sources

Association Rule Mining

, 2009
Data mining is a field encompassing study of the tools and techniques to assist humans in intelligently analyzing (mining) mountains of data. Data mining has found successful applications in many fields including sales and marketing, financial crime identification, portfolio management, medical diagnosis, manufacturing process management and health ...
Vasudha Bhatnagar, Sarabjeet Kochhar
openaire   +2 more sources