A Literature Survey on Association Rule Mining Algorithms

With the development of database technology, the need for data mining arises. As a result, Association Rule Mining(ARM) has become a very hot topic in data mining. This paper presents definition and application areas of association rules. Furthermore, a comprehensive literature review on the existing algorithms of ARM is conducted with a special focus on the performance and application areas of the algorithms. These algorithms are in general classified into three main classes: (1) based on frequent itemset, (2) based on sequential pattern, and (3) based on structured pattern. The algorithms are developed to improve the accuracy and decrease the complexity, and execution time. However, it is hard to say that they do always succeed to optimize all these aspects simultaneously. Hence, there is still some space to develop more efficient algorithms for different data structures.