Data Streams: Models and Algorithms

DATA STREAM BOOK:

Data Streams: Models and Algorithms (Springer) Ed. Charu Aggarwal, -- Comprehensive survey driven book on Data Stream research with chapters contributed by top researchers in the field. The book contains survey chapters on various topics in the field of data stream mining. The book is designed for students, researchers and practitioners in the field of data streams. Topics discussed in the book include:

Stream Clustering and its applications

Survey of Classification Methods in Data Streams

Frequent Mining Methods in Data Streams

Survey of Change Detection Methods in Data Streams

Survey of Synopsis Construction Methods in Data Streams (Reservoir sampling, histograms, sketches, wavelets)

Survey of Join Processing Data Streams

Data Stream Cube Model

Indexing in Data Streams

Loadshedding in Data Streams

Sliding Window Model: Computation and Results

Dimensionality Reduction and Forecasting of Data Streams

Survey of Distributed Mining in Data Streams

Survey of Stream Processing in Sensor Networks

Detailed Table of Contents

Sample Survey Chapter on Synopsis Construction in Data Streams

Available at Springer , Amazon.com , and Barnes and Noble .

Biography of Author

Charu Aggarwal is a Research Staff member at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his Ph.D. from MIT in 1996. The topic of his thesis was network flow algorithms and his thesis advisor was Professor James B. Orlin . He has since worked in the field of performance analysis and data mining. He has published over 95 papers in refereed conferences and journals, and has been granted over 40 patents. Because of the commercial value of the above-mentioned patents, he has been designated a Master Inventor at IBM since 2000. His work on real-time bio-attack detection in data streams won the IBM Corporate award on environmental excellence in 2003. He has served on the program committees of most major database/data mining conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop (DMKD), 2003. He was a program vice-chair of the SIAM Conference on Data Mining , 2007. He is an associate editor of the IEEE Transactions on Knowledge and Data Engineering Journal and an action editor of the Data Mining and Knowledge Discovery Journal. His research interests include data mining, privacy, information retrieval, and data streams.