A Study of Different Association Rule Mining Techniques
نویسندگان
چکیده
Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge from databases that can be used by an organization's decision makers to increase overall profit. However, performing ARM needs frequent passes over the entire database. Clearly, for large database, the role of input/output overhead in scanning the database is very important. In this paper, we provide some fundamental concepts related to association rule mining and survey the record of existing association rule mining methods. Obviously, a single article cannot be a entire review of the entire algorithms, yet we wish that the references cited will cover up the major theoretical issues, guiding the researcher in motivating research information that have yet to be explored.
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