In this lecture many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. I

This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, sy

Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e.,

In the data stream scenario, input arrives very rapidly and there is limited memory to store the input. Algorithms have to work with one or few passes over the

This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject. This volume covers mini