Title
Longest Common Subsequence in at Least k Length Order-isomorphic Substrings.
Abstract
We consider the longest common subsequence (LCS) problem with the restriction that the common subsequence is required to consist of at least k length substrings. First, we show an O(mn) time algorithm for the problem which gives a better worst-case running time than existing algorithms, where m and n are lengths of the input strings. Furthermore, we mainly consider the LCS in at least k length order isomorphic substrings problem. We show that the problem can also be solved in O(mn) worst-case time by an easy-to-implement algorithm.
Year
DOI
Venue
2017
10.1007/978-3-319-51963-0_28
Lecture Notes in Computer Science
Keywords
DocType
Volume
Longest common subsequence,Dynamic programming,Order-isomorphism,Order-preserving matching
Conference
10139
ISSN
Citations 
PageRank 
0302-9743
2
0.40
References 
Authors
8
9
Name
Order
Citations
PageRank
Yohei Ueki120.40
Diptarama241.85
Masatoshi Kurihara320.40
Yoshiaki Matsuoka421.07
Kazuyuki Narisawa5336.82
Ryo Yoshinaka617226.19
Hideo Bannai762079.87
Shunsuke Inenaga859579.02
Ayumi Shinohara993688.28