425 search results - page 17 / 85 » Mining high-speed data streams |
106
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PAKDD
2010
ACM
15 years 3 months ago
2010
ACM
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
109
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DASFAA
2010
IEEE
15 years 2 months ago
2010
IEEE
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
105
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DIS
2004
Springer
15 years 7 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
130
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KDD
2003
ACM
16 years 2 months ago
2003
ACM
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
116
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ISMIS
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...