145 search results - page 11 / 29 » Mining discriminative items in multiple data streams |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
MLDM
2009
Springer
15 years 4 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
EUROGP
2007
Springer
15 years 3 months ago
2007
Springer
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
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ICDE
2005
IEEE
15 years 11 months ago
2005
IEEE
Efficient one-pass computation of F0, the number of distinct elements in a data stream, is a fundamental problem arising in various contexts in databases and networking. We consid...
PAKDD
2004
ACM
15 years 3 months ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...