62 search results - page 10 / 13 » Mining sequential patterns from data streams: a centroid app... |
PAKDD
2004
ACM
14 years 25 days ago
2004
ACM
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
ICDE
2008
IEEE
14 years 8 months ago
2008
IEEE
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...