168 search results - page 23 / 34 » A Framework for Mining Sequential Patterns from Spatio-Tempo... |
APWEB
2006
Springer
14 years 10 days ago
2006
Springer
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
In this paper we present clustering method is very sensitive to the initial center values ,requirements on the data set too high, and cannot handle noisy data the proposal method ...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
PKDD
2005
Springer
14 years 2 months ago
2005
Springer
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
PST
2008
13 years 10 months ago
2008
Knowledge discovery systems extract knowledge from data that can be used for making prediction about incomplete data items. Utility is a measure of the usefulness of the discovere...