Cart (Loading....) | Create Account
Close category search window
 

Invited Paper: Pattern Matching Using n-Gram Sampling of Cumulative Algebraic Signatures: Preliminary Results

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Litwin, W. ; Dauphine Univ., Paris ; Mokadem, R. ; Rigaux, P. ; Thomas, S.

We propose a novel string (pattern) matching algorithm called n-gram search. We intend it for the records stored once and searched many times in a database or a file, especially those organized in a scalable distributed data structure, (SDDS), over a grid or a structured P2P net. We presume that the records are encoded into their cumulative algebraic signatures, providing incidental confidentiality of stored data. The search starts with pre-processing the pattern, calculating the logarithmic algebraic signature (LAS) of the pattern and the LASs of every n-gram in it. The value of n ges 1 is a parameter that one may tune. The search attempts to match the LASs of n-grams in the pattern towards dynamically calculated LASs, sampled over n-grams in the records. A mismatch generates a shift of up to K - n symbols towards next sample, where K is the pattern length. The whole process is parallel over the SDDS servers and does not require any local decoding. For an M-symbol long record, the unsuccessful search, measured as number of match attempts, costs O ((M - K)/(K - n+1)). The 2-grams should typically suffice, leading to O ((M - K)/(K - 1)). We show that the algorithm particularly efficient for larger strings and records, i.e., with e-documents or DNA data. Preliminary results show then the n-gram search about (K - n + 1) faster than our previous algorithms and among the fastest known, e.g., probably often faster than Boyer-Moore

Published in:

Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on

Date of Conference:

0-0 0

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.