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Knowledge Discovery from Data Streams
book

Knowledge Discovery from Data Streams

by Joao Gama
May 2010
Intermediate to advanced content levelIntermediate to advanced
255 pages
8h 11m
English
Chapman and Hall/CRC
Content preview from Knowledge Discovery from Data Streams
Bibliography
Abdulsalam, H., D. B. Skillicorn, and P. Martin (2007). Streaming random
forests. In IDEAS ’07: Proceedings of the 11th International Database Engi-
neering and Applications Symposium, Washington, DC, pp. 225–232. IEEE
Computer Society.
Aggarwal, C. (2006). On biased reservoir sampling in the presence of stream
evolution. In U. Dayal, K.-Y. Whang, D. B. Lomet, G. Alonso, G. M.
Lohman, M. L. Kersten, S. K. Cha, and Y.-K. Kim (Eds.), Proceedings
International Conference on Very Large Data Bases, Seoul, Korea, pp. 607–
618. ACM.
Aggarwal, C. (2007). Data Streams Models and Algorithms. Springer.
Aggarwal, C., J. Han, J. Wang, and P. Yu (2003). ...
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Publisher Resources

ISBN: 9781439826126