539 search results - page 31 / 108 » Online Algorithms for Mining Semi-structured Data Stream |
107
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CIS
2004
Springer
15 years 7 months ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
135
Voted
KDD
1998
ACM
15 years 6 months ago
1998
ACM
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
121
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ICIP
2009
IEEE
14 years 11 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
108
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KDD
2009
ACM
16 years 2 months ago
2009
ACM
The availability and the accuracy of the data dictate the success of a data mining application. Increasingly, there is a need to resort to on-line data collection to address the p...
129
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IDA
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...