NDLI: A Nettree for pattern Matching with flexible wildcard Constraints

Content Provider	IEEE Xplore Digital Library
Author	Youxi Wu Xindong Wu Fan Min Yan Li
Copyright Year	2010
Description	Author affiliation: School of Management, Hebei University of Technology, Tianjin 300130, China (Yan Li) \|\| School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China (Fan Min) \|\| School of Computer Science and Software, Hebei University of Technology, Tianjin 300130, China (Youxi Wu) \|\| School of Computer Science & Information Engineering, Hefei University of Technology, 230009, China (Xindong Wu)
Abstract	In this paper, a new nonlinear structure called Nettree is proposed. A Nettree is different from a tree in that a node may have more than one parent. An algorithm, named Nettree for pattern Matching with flexible wildcard Constraints (NAMEIC), based on Nettree is designed to solve pattern matching with flexible wildcard constraints. The problem is exponential with regard to the pattern length m. We prove the correctness of the algorithm, and illustrate how it works through an example. NAMEIC is W*m times faster than an existing approach because the result can be given after creating the Nettree in one pass, where W is the maximal gap flexibility. Experiments validate the correctness and efficiency of NAMEIC.
Starting Page	109
Ending Page	114
File Size	384140
Page Count	6
File Format	PDF
ISBN	9781424480975
e-ISBN	9781424480999
DOI	10.1109/IRI.2010.5558954
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Complexity theory Pattern matching Pediatrics Equations Algorithm design and analysis Computer science Educational institutions Flexible wildcard Nettree
Content Type	Text
Resource Type	Article

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