Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/25485
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLaha, Arnab Kumar-
dc.contributor.authorVerma, Shikha-
dc.date.accessioned2022-03-01T11:23:23Z-
dc.date.available2022-03-01T11:23:23Z-
dc.date.issued2021-09-01-
dc.identifier.citationLaha, A. K., & Verma, S. (2021). Optimal Transport based Drift Detection for Sensor Streams: Method and Applications in Transportation. IIM Ahmedabad.en_US
dc.identifier.urihttp://hdl.handle.net/11718/25485-
dc.description.abstractWith increasing adoption of Internet of Things (IoT) across the transportation sector, there is a growing need for developing algorithms for analyzing data streams. Due to dynamic operating environment conditions in the transportation domain, the nature of the data streams frequently change and static predictive models are often not successful when dealing with, non-stationary data streams. Further, labelled data is often unavailable or is costly to acquire in real time. Thus, effective algorithms for such problems would aim to maximize accuracy while minimizing the labelled data requirements. In this paper, we propose a new algorithm namely, the Optimal Transport based Drift Detection (OTDD) algorithm, that aims to address the accuracy-labeling requirement trade-off. Experiments on artificial and real-life data sets from the transportation domain demonstrate that the OTDD algorithm performs better than some of the widely used competing algorithms in addressing the accuracy-labeling requirement trade-off.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectConcept driften_US
dc.subjectData streamsen_US
dc.subjectIntelligent transportation systemsen_US
dc.subjectKullback-Leibler divergenceen_US
dc.subjectWasserstein barycentreen_US
dc.titleOptimal transport based drift detection for sensor streams: method and applications in transportationen_US
dc.typeWorking Paperen_US
Appears in Collections:Working Papers

Files in This Item:
File Description SizeFormat 
30.pdfOptimal Transport based Drift Detection for Sensor Streams: Method and Applications in Transportation2.71 MBAdobe PDFView/Open


Items in IIMA Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated.