Searching Interesting Association Rules Based on Evolutionary Computation
نویسندگان
چکیده
In this paper, we propose an evolutionary method to search interesting association rules. Most of the association rule mining methods give a large number of rules, and it is difficult for human beings to deal with them. We study this problem by borrowing the style of a search engine, that is, searching association rules by keywords. Whether a rule is interesting or not is decided by its relation to the keywords, and we introduce both semantic and statistical methods to measure such relation. The mining process is built on an evolutionary approach, Genetic Network Programming (GNP). Different from the conventional GNP based association rule mining method, the proposed method pays more attention to generate the GNP individuals carefully, which will mine interesting association rules efficiently.
منابع مشابه
Evolutionary approach for discovering changing patterns in historical data
In this paper, we propose a new data mining approach, called dAR, for discovering interesting association rules and their changes by evolutionary computation. dAR searches through huge rule spaces effectively using a genetic algorithm. It has the following characteristics: (i) it encodes a complete set of rules in one single chromosome; (ii) each allele encodes one rule and each rule is represe...
متن کاملArmga: Identifying Interesting Association Rules with Genetic Algorithms
& Priori-like algorithms for association rules mining have relied on two user-specified thresholds: minimum support and minimum confidence. There are two significant challenges to applying these algorithms to real-world applications: database-dependent minimum-support and exponential search space. Database-dependent minimum-support means that users must specify suitable thresholds for their min...
متن کاملOptimal intelligent control for glucose regulation
This paper introduces a novel control methodology based on fuzzy controller for a glucose-insulin regulatory system of type I diabetes patient. First, in order to incorporate knowledge about patient treatment, a fuzzy logic controller is employed for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. Then, to overcome the key drawback of fuzzy logic contro...
متن کاملExtraction of Interesting Association Rules Using Genetic Algorithms
The process of discovering interesting and unexpected rules from large data sets is known as association rule mining. The typical approach is to make strong simplifying assumptions about the form of the rules, and limit the measure of rule quality to simple properties such as support or confidence. Support and confidence limit the level of interestingness of the generated rules. Comprehensibili...
متن کاملMultiobjective Evolution of Temporal Rules
In recent years, the methods of evolutionary computation have proven themselves useful in the area of data mining. For rule mining, several objective functions have been used, relating to both accuracy and interestingness in general. However, when searching for rules or patterns in a data set, several conflicting objectives will often be present. As the ultimate goal of data mining is to discov...
متن کامل