583 search results - page 113 / 117 » Mining evolving data streams for frequent patterns |
SDM
2011
SIAM
14 years 13 days ago
2011
SIAM
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
KDD
2010
ACM
15 years 1 months ago
2010
ACM
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
DMKD
1997
ACM
15 years 1 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
108
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
84
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...