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SIGMOD
2005
ACM

Mining Periodic Patterns with Gap Requirement from Sequences

13 years 2 months ago
Mining Periodic Patterns with Gap Requirement from Sequences
We study a problem of mining frequently occurring periodic patterns with a gap requirement from sequences. Given a character sequence S of length L and a pattern P of length l, we consider P a frequently occurring pattern in S if the probability of observing P given a randomly picked length-l subsequence of S exceeds a certain threshold. In many applications, particularly those related to bioinformatics, interesting patterns are periodic with a gap requirement. That is to say, the characters in P should match subsequences of S in such a way that the matching characters in S are separated by gaps of more or less the same size. We show the complexity of the mining problem and discuss why traditional mining algorithms are computationally infeasible. We propose practical algorithms for solving the problem, and study their characteristics. We also present a case study in which we apply our algorithms on some DNA sequences. We discuss some interesting patterns obtained from the case study.
Minghua Zhang, Ben Kao, David Wai-Lok Cheung, Kevi
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2005
Where SIGMOD
Authors Minghua Zhang, Ben Kao, David Wai-Lok Cheung, Kevin Y. Yip
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