文章基本信息

标题：Data Stream Mining – A Survey
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作者：R. Kalaivani ; Dr. S.Vijayarani
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：4
页码：7461
DOI：10.15680/IJIRCCE.2017.05040172
出版社：S&S Publications
摘要：At present a growing number of applications that generate massive streams of data which needsintelligent data processing and online analysis. The imminent need for turning such data into useful information andknowledge augments the development of algorithms and frameworks that address streaming challenges. The preprocess, storage space, querying and mining of such data sets are very computationally difficult tasks. Time periodobservation systems, telecommunication methods, sensor devices and alternative dynamic environments are such cases.Mining data streams cares with extracting data structures drawn in model and patterns in continuous streams ofinformation. In this paper, we have a tendency to gift the theoretical foundations of data stream analysis and establishpotential directions of future analysis. Mining data stream techniques are being reviewed.
关键词：Data Stream mining; Data mining; Clustering mining; Classification mining; Association Mining