Compact Representations of Event Sequences
March 07, 2018 Β· Declared Dead Β· π Data Compression Conference
"No code URL or promise found in abstract"
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Authors
Nieves R. Brisaboa, Guillermo de Bernardo, Gonzalo Navarro, Tirso V. Rodeiro, Diego Seco
arXiv ID
1803.02576
Category
cs.DS: Data Structures & Algorithms
Citations
2
Venue
Data Compression Conference
Last Checked
4 months ago
Abstract
We introduce a new technique for the efficient management of large sequences of multidimensional 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.
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