150 search results - page 2 / 30 » Local Pattern Mining from Sequences Using Rough Set Theory |
KDD
1995
ACM
13 years 8 months ago
1995
ACM
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
ISCI
1998
13 years 4 months ago
1998
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
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...
FUIN
2006
13 years 5 months ago
2006
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...