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Authordc.contributor.authorBrisaboa, Nieves 
Authordc.contributor.authorDe Bernardo, Guillermo 
Authordc.contributor.authorNavarro, Gonzalo 
Authordc.contributor.authorRodeiro, Tirso 
Authordc.contributor.authorSeco, Diego 
Cita de ítemdc.identifier.citationData Compression Conference Proceedings, 2018
Abstractdc.description.abstractWe introduce a new technique for the efficient management of large sequences of multi-dimensional data, which takes advantage of regularities that arise in real-world datasets and supports different types of aggregation queries. More importantly, our representation is flexible in the sense that the relevant dimensions and queries may be used to guide the construction process, easily providing a space-time tradeoff depending on the relevant queries in the domain. We provide two alternative representations for sequences of multidimensional data and describe the techniques to efficiently store the datasets and to perform aggregation queries over the compressed representation. We perform experimental evaluation on realistic datasets, showing the space efficiency and query capabilities of our proposal.
Publisherdc.publisherInstitute of Electrical and Electronics Engineers Inc.
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.uri
Sourcedc.sourceData Compression Conference Proceedings
Keywordsdc.subjectcompact data structures
Keywordsdc.subjectcompact sequence
Keywordsdc.subjectmultidimensional data
Keywordsdc.subjectwavelet trees
Títulodc.titleCompact representations of event sequences
Document typedc.typeArtículo de revista
Indexationuchile.indexArtículo de publicación SCOPUS

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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile