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dc.contributor.authorMuhammad Fuad, Muhammad Marwan
dc.date.accessioned2016-03-15T09:29:24Z
dc.date.available2016-03-15T09:29:24Z
dc.date.issued2015-01-10
dc.description.abstractSimilarity search of time series can be efficiently handled through a multi-resolution representation scheme which offers the possibility to use pre-computed distances that are calculated and stored at indexing time and then utilized at query time together with filters in the form of exclusion conditions which speed up the search. In this paper we introduce a new multi-resolution representation and search framework of time series. Compared with our previous multi-resolution methods which use first degree polynomials to reduce the dimensionality of the time series at different resolution levels, the novelty of this work is that it applies Haar wavelets to represent the time series. This representation is particularly adapted to our multi-resolution approach as discrete wavelet transforms have the ability of reflecting the local and global information content at every resolution level thus enhancing the performance of the similarity search algorithm, which is what we have shown in this paper through extensive experiments on different datasets.en_US
dc.descriptionPublished version. Source at <a href=http://doi.org/10.5220/0005307006200626>http://doi.org/10.5220/0005307006200626</a>.
dc.identifier.citationLoiseau, Stephane; Filipe, Joaquim; Duval, Bèatrice; van den Herik, Jaap [Eds.] ICAART 2015 Proceedings of the International Conference on Agents and Artificial Intelligence p. 620-626, SciTePress, 2015en_US
dc.identifier.cristinIDFRIDAID 1299661
dc.identifier.doihttp://doi.org/10.5220/0005307006200626
dc.identifier.isbn978-989-758-074-1
dc.identifier.urihttps://hdl.handle.net/10037/8947
dc.identifier.urnURN:NBN:no-uit_munin_8513
dc.language.isoengen_US
dc.publisherINSTICCen_US
dc.relation.ispartofseriesProceedings of the International Conference on Agents and Artificial Intelligence volume 2, 2015en_US
dc.rights.accessRightsopenAccess
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.subjectVDP::Technology: 500::Information and communication technology: 550en_US
dc.subjectMulti-resolutionen_US
dc.subjectTime Series Data Miningen_US
dc.subjectHaar Waveletsen_US
dc.subjectSimilarity Searchen_US
dc.subjectDimensionality Reduction Techniquesen_US
dc.titleA Haar Wavelet-based Multi-resolution Representation Method of Time Series Dataen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US


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