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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
216 Knowledge Discovery from Data Streams
Cohen, L., G. Avrahami, M. Last, and A. Kandel (2008). Info-fuzzy algorithms
for mining dynamic data streams. Applied Soft Computing 8 (4), 1283–1294.
Cohen, P. (1995). Empirical Methods for Artificial Intelligence. MIT Press.
Cormode, G. and M. Hadjieleftheriou (2009). Finding the frequent items in
streams of data. Communications ACM 52 (10), 97–105.
Cormode, G., F. Korn, S. Muthukrishnan, and D. Srivastava (2008). Find-
ing hierarchical heavy hitters in streaming data. ACM Transactions on
Knowledge Discovery from Data 1 (4), 1–48.
Cormode, G. and S. Muthukrishnan (2003). What’s hot and what’s not: track-
ing most frequent items dynamically. In ACM Symposium on Principles of
Database Systems 2003, San Diego, ...
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Publisher Resources

ISBN: 9781439826126