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51. mProv: Provenance-Based Data Analytics Cyberinfrastructure for High-Frequency Mobile Sensor Data

Author

Ives, Zachary, Kumar, Santosh, Srivastava, Mani, Sim, Ida, Timothy Hnat, Nasir Ali, Ananda Tirtha, Sandeep Singh Sanda, John Frommeyer, Nan Zheng, Soonbo Han, and Simona Carini

Subjects
provenance streams mobile health iot
Abstract

mProv develops standards, libraries, and compressed storage/query services to capture fine-grained data provenance over streaming data -- with applications in mobile health sensors and more. Among other capabilities, our infrastructurefacilitates reasoning about data quality, enforcing privacy filter conditions, and high-fidelity sensor data stream replay.

Published
2022
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