A Survey on Association Rule Mining Algorithms Used in Different Application Areas
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Abstract
Data mining is a collection of techniques to extract hidden and potentially useful information from large databases of various business domains. For identifying the interesting patterns and co-relation and to get benefits from the repository data, Association Rule Mining (ARM) methods are used. ARM is one of the most popular techniques of data mining, which is helpful in extracting interesting knowledge. In this paper, the effort is done to survey the research papers associated with real life applications like stock market, health care, Supermarket etc. Various ARM algorithms applied by the different researchers are studied. The main goal of this paper is to identify recent issues and techniques used in different application areas specially related with ARM algorithms in data mining.
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