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- W2078758876 abstract "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." @default.
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- W2078758876 date "2011-05-31" @default.
- W2078758876 modified "2023-09-26" @default.
- W2078758876 title "Statistical Data Analysis of Continuous Streams Using Stream DSMS" @default.
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- W2078758876 doi "https://doi.org/10.5121/ijdms.2011.3206" @default.
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