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Privacy Preserving Stream Analytics: The Marriage of Randomized Response and Approximate Computing.

, , , , , and . CoRR, (2017)

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Approximate Computing for Stream Analytics., , , , , and . Encyclopedia of Big Data Technologies, Springer, (2019)ApproxJoin: Approximate Distributed Joins., , , , , , and . SoCC, page 426-438. ACM, (2018)PrivApprox: Privacy-Preserving Stream Analytics - (Extended Abstract)., , , , , and . Informatik Spektrum, 42 (5): 358-359 (2019)Scalable Network Traffic Classification Using Distributed Support Vector Machines., , , , and . CLOUD, page 1008-1012. IEEE, (2015)Privacy-Preserving Data Analytics., , , , , and . Encyclopedia of Big Data Technologies, Springer, (2019)IncApprox: A Data Analytics System for Incremental Approximate Computing., , , , and . WWW, page 1133-1144. ACM, (2016)Approximate Edge Analytics for the IoT Ecosystem., , , , and . CoRR, (2018)Approximate Distributed Joins in Apache Spark., , , , , , and . CoRR, (2018)Incremental Approximate Computing., , , , and . Encyclopedia of Big Data Technologies, Springer, (2019)StreamApprox: approximate computing for stream analytics., , , , , and . Middleware, page 185-197. ACM, (2017)