Compact Representations of Event Sequences
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.
Cite
@article{arxiv.1803.02576,
title = {Compact Representations of Event Sequences},
author = {Nieves R. Brisaboa and Guillermo de Bernardo and Gonzalo Navarro and Tirso V. Rodeiro and Diego Seco},
journal= {arXiv preprint arXiv:1803.02576},
year = {2018}
}
Comments
This research has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie Actions H2020-MSCA-RISE-2015 BIRDS GA No. 690941