文章基本信息

标题：An Effective Algorithm for Clustering Time-Series Data by Fuzzy Logic
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作者：Sadiq Hussain ; Prof. G.C. Hazarika
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：2011
卷号：2
期号：4Ver 2
出版社：Ayushmaan Technologies
摘要：A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria are bounded by a specified threshold value, such as the LCSS technique, have been shown to be robust in the presence of noise, time shifts, and data scaling. Afterwards, by utilizing an efficient method, clusters are updated incrementally and periodically through a set of fuzzy approaches. So, in this paper, we utilize the clustering of time series data using LCSS and Fuzzy Logic. In addition, we will present the benefits of the proposed system by implementing a real application: using dataset that contains two attributes temperature and humidity.
关键词：Time Series; Data mining; clustering; Fuzzy clustering"