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author:

Zhu, Daxin (Zhu, Daxin.) [1] | Wu, Yingjie (Wu, Yingjie.) [2] | Wang, Xiaodong (Wang, Xiaodong.) [3]

Indexed by:

CPCI-S EI Scopus

Abstract:

The solution to a generalized longest common subsequence problem is addressed in this paper. In this problem, two given sequences of their length s and t must be included as the subsequences of the two main sequences A and B, and the result subsequences must be the longest. If the lengths of the two main sequences A and B are n and m, and the lengths of their two constrained sequences are s and t respectively, the time complexity of the dynamic programming algorithm presented in this paper to solve the new generalized LCS problem must be O(nmst).

Keyword:

Constrained sequences Dynamic programming algorithm Generalized LCS problem Similarity Time complexity

Community:

  • [ 1 ] [Zhu, Daxin]Quanzhou Normal Univ, Quanzhou 362000, Peoples R China
  • [ 2 ] [Wu, Yingjie]Fuzhou Univ, Fuzhou 350002, Peoples R China
  • [ 3 ] [Wang, Xiaodong]Fujian Univ Technol, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • [Wang, Xiaodong]Fujian Univ Technol, Fuzhou 350108, Peoples R China

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Source :

Intelligent Information and Database Systems, ACIIDS 2016, Pt II

ISSN: 0302-9743

Year: 2016

Volume: 9622

Page: 261-267

Language: English

0 . 4 0 2

JCR@2005

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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