28 search results - page 3 / 6 » Mining frequent items in a stream using flexible windows |
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...
KAIS
2008
13 years 4 months ago
2008
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
DAWAK
2004
Springer
13 years 8 months ago
2004
Springer
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
AUSDM
2007
Springer
13 years 11 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...