Skip to Main Content
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 221
Guha, S. and B. Harb (2005). Wavelet synopsis for data streams: minimizing
non-euclidean error. In Proceeding of the 11th ACM SIGKDD International
Conference on Knowledge Discovery in Data Mining, New York, NY, pp.
88–97. ACM Press.
Guha, S., A. Meyerson, N. Mishra, R. Motwani, and L. O’Callaghan (2003).
Clustering data streams: Theory and practice. IEEE Transactions on
Knowledge and Data Engineering 15 (3), 515–528.
Guha, S., R. Rastogi, and K. Shim (1998). Cure: an efficient clustering al-
gorithm for large databases. In Proceedings ACM SIGMOD International
Conference on Management of Data, Seattle, pp. 73–84. ACM Press.
Guha, S., K. Shim, and J. Woo (2004). Rehist: Relative error histogram con-
struction algorithms. In Proceedings of ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Reinventing the Organization for GenAI and LLMs

Reinventing the Organization for GenAI and LLMs

Ethan Mollick

Publisher Resources

ISBN: 9781439826126