Challenges to find association rules over various types of data items: A Survey

Abstract

Association Rule Mining is a Data Mining technique used to uncover the hidden interesting relationships between item-sets in a large database. Many algorithms have been proposed to find association rules in various fields. In General, values associated with data items need not be the same type in all the databases. Applying a single algorithm for all the types of data items may not feasible. To solve this problem applying an individual algorithm for each type of data is one solution and conversion of data item values to algorithm compatible type is another solution. This paper presents basic ways of finding association rules for various kinds of data items and challenges involved in it.