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Conference Papers Year : 2015

Querying Temporal Drifts at Multiple Granularities

Abstract

There exists a large body of work on online drift detec- tion with the goal of dynamically finding and maintaining changes in data streams. In this paper, we adopt a query- based approach to drift detection. Our approach relies on a drift index, a structure that captures drift at different time granularities and enables flexible drift queries. We formalize different drift queries that represent real-world scenarios and develop query evaluation algorithms that use different mate- rializations of the drift index as well as strategies for online index maintenance. We describe a thorough study of the performance of our algorithms on real-world and synthetic datasets with varying change rates.
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Dates and versions

hal-01208397 , version 1 (02-10-2015)

Identifiers

  • HAL Id : hal-01208397 , version 1

Cite

Sofia Kleisarchaki, Sihem Amer-Yahia, Ahlame Douzal-Chouakria, Vassilis Christophides. Querying Temporal Drifts at Multiple Granularities. CIKM 2015, Oct 2015, Melbourne, Australia. ⟨hal-01208397⟩
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