Statistical Data Analysis of Continuous Streams Using Stream DSMS

Nadeem Akhtar
2011 International Journal of Database Management Systems  
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
more » ... d 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.
doi:10.5121/ijdms.2011.3206 fatcat:krxd3nuztzgrjdcdjh3gsrgyyq