Querying Temporal Drifts at Multiple Granularities - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Querying Temporal Drifts at Multiple Granularities


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.
No file

Dates and versions

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


  • HAL Id : hal-01208397 , version 1


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


Gmail Mastodon Facebook X LinkedIn More