Sciweavers

Share
KDD
2008
ACM

Permu-pattern: discovery of mutable permutation patterns with proximity constraint

9 years 2 months ago
Permu-pattern: discovery of mutable permutation patterns with proximity constraint
Pattern discovery in sequences is an important problem in many applications, especially in computational biology and text mining. However, due to the noisy nature of data, the traditional sequential pattern model may fail to reflect the underlying characteristics of sequence data in these applications. There are two challenges: First, the mutation noise exists in the data, and therefore symbols may be misrepresented by other symbols; Secondly, the order of symbols in sequences could be permutated. To address the above problems, in this paper we propose a new sequential pattern model called mutable permutation patterns. Since the Apriori property does not hold for our permutation pattern model, a novel Permu-pattern algorithm is devised to mine frequent mutable permutation patterns from sequence databases. A reachability property is identified to prune the candidate set. Last but not least, we apply the permutation pattern model to a real genome dataset to discover gene clusters, which...
Meng Hu, Jiong Yang, Wei Su
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2008
Where KDD
Authors Meng Hu, Jiong Yang, Wei Su
Comments (0)
books