9 search results - page 1 / 2 » Fast mining and forecasting of complex time-stamped events |
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Given a collection of complex, time-stamped events, how do we find patterns and anomalies? Events could be meetings with one or more persons with one or more agenda items at zero ...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
FUIN
2008
13 years 4 months ago
2008
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
ICDE
2011
IEEE
12 years 8 months ago
2011
IEEE
—The rapidly increasing amount of data available for real-time analysis (i.e., so-called operational business intelligence) is creating an interesting opportunity for creative ap...