文章基本信息

标题：A Survey on Data Stream and Its Various Techniques
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作者：Hiral Desai ; Dharmik Vasiyani ; Jay Gandhi 等
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：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309090
出版社：S&S Publications
摘要：Data StreamMining is become new emerging topic for research in knowledge discovery. In thiscontinuous changing nature of data creates problem in mining the knowledge from it and its difficult to store. There aresome techniques and algorithms which are using for mining in the data stream like classification, clustering andfrequent patterns. Here gives an overview of all these techniques with their merits and demerits.There are mainly fourchallenges termed as Concept drift, Infinite length, Concept evaluation and Limited labeled data. Here also givesdescription of all these challenges.With reference to all these problem here gives discussion of future work
关键词：data stream; concept drift; concept evolution; infinite length; limited labeled data