ThesisAuthors: Jain, Ankur (2006)
Recent years have seen a steady rise of a new class of data management systems called Data Stream Management Systems (DSMS). These systems manage rapid, high-volume data-streams with transient relations instead of static data with persistent relations. Data streams are common to applications such as network traffic and transaction monitoring systems, click-stream processors, industrial process control, and sensor networks. A DSMS operates on these continuous and time-varying data streams to facilitate on-the-fly query answering, and to support data acquisition, monitoring and analysis.
In this dissertation, we present statistical stream mining solutions for effective on-line processing of streaming data. We focus research issues related to adaptive stream resource conservation and ... 
