13 search results - page 1 / 3 » A pattern mining approach toward discovering generalized seq... |
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the...
SSD
2001
Springer
13 years 9 months ago
2001
Springer
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
IDA
2007
Springer
13 years 5 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...