… There are various association rule mining algorithms. In this paper we have discussed
six association rule mining algorithms with their example: AIS, SETM, Apriori, Aprioritid, …

… we will introduce association rule mining … Association rule mining is a well explored research
area, we will only introduce some basic and classic approaches for association rule mining. …

… The aim of this chapter is to develop techniques for identifying negative association rules …
mining negative association rules is very different from that of mining positive association rules …

… In this paper, we provide the preliminaries of basic concepts about association rule mining
and survey the list of existing association rule mining techniques. Of course, a single article …

… In this paper, we propose to integrate these two mining techniques. The integration is done
by focusing on mining a special subset of association rules, called class association rules (…

… , based on an extended association rule mining technique in the context of … of rule generation;
third, incorporating strategies for avoiding rule redundancy and conflicts into the mining …

… Market basket analysis [3] or the mining of association rules is the most practical and
beneficial data mining technique to be used in electronic commerce. This is particularly …

… rule mining there is one and only one pre-determined target, ie, the class. Both classification
rule mining and association rule mining … result if the two mining techniques can somehow be …

… association rule mining is market-basket analysis. Applications of association rule mining are
stock analysis, web log mining, … Boolean and Fuzzy association rule mining such as Apriori, …

… task of association rule mining. Actually, these algorithms are more or less described on their
own. In this paper we explain the fundamentals of association rule mining and moreover de…