583 search results - page 2 / 117 » Mining evolving data streams for frequent patterns |
MLDM
2009
Springer
13 years 11 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...
DAWAK
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. We investigate the problem of finding frequent patterns in a continuous stream of transactions. It is recognized that the approximate solutions are usually sufficient and...
ADC
2008
Springer
13 years 11 months ago
2008
Springer
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
JIIS
2007
13 years 4 months ago
2007
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
ISMIS
2009
Springer
13 years 11 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...