425 search results - page 27 / 85 » Mining high-speed data streams |
97
Voted
EPIA
2003
Springer
15 years 7 months ago
2003
Springer
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
117
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
107
Voted
PAKDD
2004
ACM
15 years 7 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...
AUSDM
2007
Springer
15 years 8 months ago
2007
Springer
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
105
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IPPS
2006
IEEE
15 years 8 months ago
2006
IEEE
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...