文章基本信息

标题：Adaptive Fuzzy Clustering of Short Time Series with Unevenly Distributed Observations in Data Stream Mining Tasks
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作者：Yevgeniy Bodyanskiy ; Olena Vynokurova ; Ilya Kobylin 等
期刊名称：Information Technology and Management Science
印刷版ISSN：2255-9086
电子版ISSN：2255-9094
出版年度：2016
卷号：19
期号：1
页码：23-28
DOI：10.1515/itms-2016-0006
语种：English
出版社：Walter de Gruyter GmbH
摘要：In the paper, adaptive modifications of fuzzy clustering methods have been proposed for solving the problem of data stream mining in online mode. The clustering-segmentation task of short time series with unevenly distributed observations (at the same time in all samples) is considered. The proposed approach for adaptive fuzzy clustering of data stream is sufficiently simple in numerical implementation and is characterised by a high speed of information processing. The computational experiments have confirmed the effectiveness of the developed approach.
关键词：Data mining ; fuzzy clustering methods ; hybrid intelligent systems