文章基本信息

标题：Statistical Data Analysis of Continuous Streams Using Stream DSMS
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作者：Nadeem Akhtar
期刊名称：International Journal of Database Management Systems
印刷版ISSN：0975-5985
电子版ISSN：0975-5705
出版年度：2011
卷号：3
期号：2
DOI：10.5121/ijdms.2011.3206
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Several applications involve a transient stream of data which has to be modeled and analyzed continuously. Their continuous arrival in multiple, rapid, time-varying and possibly unpredictable and unbounded way make the analysis difficult and opens fundamentally new research problems. Examples of such data intensive applications include stock market, road traffic analysis, whether forecasting systems etc. In this study, we have used a Data Stream Management System tool- Stanford STREAM to model and analyze data from two different application domains- Road Traffic analysis and Habitat Monitoring analysis. Based on the results we discuss advantages and disadvantages of STREAM.
关键词：Continuous Stream; DSMS; Stanford STREAM