1402 search results - page 9 / 281 » Detecting Change in Data Streams |
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
INFORMATICALT
2008
13 years 7 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
DAWAK
2008
Springer
13 years 9 months ago
2008
Springer
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...