Approximate string matching for large-scale event processing

Satoshi Kuboi, Kensuke Baba, Shigeru Takano, Kazuaki Murakami

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Event processing is an important technology to detect what happened in the real world from a large amount of sensor data. This article is trying to find a suitable method for event processing with huge data. The authors formalize event processing as a problem of approximate string matching and evaluate the processing time of the two algorithms for the problem, the shift-Add algorithm and the FFT-based algorithm. The shift-Add algorithm is efficient for matching with a short string, however the processing time is proportional to the length of the string. On the other hand, the processing time of the FFT-based algorithm depends on the logarithm of the length of the string. Their experimental result with a common computer shows that the FFT-based algorithm is faster than the shift-Add algorithm for a string longer than about 4,000.

    Original languageEnglish
    Title of host publicationProceeding - 2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014
    EditorsElyas Palantei
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages141-144
    Number of pages4
    ISBN (Electronic)9781479967261
    DOIs
    Publication statusPublished - Mar 24 2014
    Event2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014 - Makassar, Indonesia
    Duration: Nov 26 2014Nov 30 2014

    Publication series

    NameProceeding - 2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014

    Other

    Other2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014
    Country/TerritoryIndonesia
    CityMakassar
    Period11/26/1411/30/14

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Computer Science Applications
    • Electrical and Electronic Engineering

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