A Novel Genetic Algorithm Based on Image Databases for Mining
Shangping Dai, Qiang Zhu · 2007
Data mining technology has emerged as a means for identifying patterns and trends from large quantities of data. Mining encompasses various algorithms such as clustering, classification, and association rule mining. In this paper we take advantage of the genetic algorithm (GA) designed specifically for discovering association rules. We propose a novel spatial mining algorithm, called ARMNGA(Association Rules Mining in Novel Genetic Algorithm), Compared to the algorithm in Reference[2] , the ARMNGA algorithm avoids generating impossible candidates, and therefore is more efficient in terms of the execution time.