文章基本信息

标题：Algorithm Design and Comparative Analysis for Outlier Detection using Genetic Algorithm and Bacterial Foraging
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作者：Dr. Amit Verma ; Er.Parminder Kaur ; Sharnjeet Kaur 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：48-51
语种：English
出版社：Ayushmaan Technologies
摘要：Data mining derive its name for searching necessary information from a large database and utilizes this information in better way. To arrange the data in proper manner there is a need of clustering and classification techniques. With respect to other algorithms K-Mean clustering algorithm attains attention to arrange the data in clusters . The optimization algorithms such as Genetic algorithm and Bacterial Foraging Algorithm used to optimize the result of K-Mean clustering algorithm and detect outliers from the result of K-Mean Clustering algorithm. In this paper a hybrid genetic and bacterial foraging algorithm is proposed to find outliers from the data.
关键词：K-mean;Genetic algorithm;Outlier Detection;Bacterial Foraging Algorithm.