Towards a faster symbolic aggregate approximation method

Muhammad Marwan Muhammad Fuad, Pierre François Marteau

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

Abstract

The similarity search problem is one of the main problems in time series data mining. Traditionally, this problem was tackled by sequentially comparing the given query against all the time series in the database, and returning all the time series that are within a predetermined threshold of that query. But the large size and the high dimensionality of time series databases that are in use nowadays make that scenario inefficient. There are many representation techniques that aim at reducing the dimensionality of time series so that the search can be handled faster at a lower-dimensional space level. The symbolic aggregate approximation (SAX) is one of the most competitive methods in the literature. In this paper we present a new method that improves the performance of SAX by adding to it another exclusion condition that increases the exclusion power. This method is based on using two representations of the time series: one of SAX and the other is based on an optimal approximation of the time series. Pre-computed distances are calculated and stored offline to be used online to exclude a wide range of the search space using two exclusion conditions. We conduct experiments which show that the new method is faster than SAX.

Original languageEnglish
Title of host publicationICSOFT 2010 - Proceedings of the 5th International Conference on Software and Data Technologies
PublisherIEEE
Pages305-310
Number of pages6
ISBN (Print)9789898425225
Publication statusPublished - 1 Dec 2010
Event5th International Conference on Software and Data Technologies, ICSOFT 2010 - Athens, Greece
Duration: 22 Jul 201024 Jul 2010

Publication series

NameICSOFT 2010 - Proceedings of the 5th International Conference on Software and Data Technologies
Volume1

Conference

Conference5th International Conference on Software and Data Technologies, ICSOFT 2010
CountryGreece
CityAthens
Period22/07/1024/07/10

Keywords

  • Fast SAX
  • Symbolic aggregate approximation
  • Time series information retrieval

ASJC Scopus subject areas

  • Software

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  • Cite this

    Muhammad Fuad, M. M., & Marteau, P. F. (2010). Towards a faster symbolic aggregate approximation method. In ICSOFT 2010 - Proceedings of the 5th International Conference on Software and Data Technologies (pp. 305-310). (ICSOFT 2010 - Proceedings of the 5th International Conference on Software and Data Technologies; Vol. 1). IEEE.