138 search results - page 1 / 28 » Relational Frequent Patterns Mining for Novelty Detection fr... |
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...
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...
DIS
2009
Springer
13 years 11 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
AUSDM
2007
Springer
13 years 10 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...