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Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining.

, , and . ECML/PKDD (3), volume 9853 of Lecture Notes in Computer Science, page 96-111. Springer, (2016)

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Using exit time predictions to optimize self automated parking lots., , and . ITSC, page 302-307. IEEE, (2014)On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders., and . IEEE Trans. Intell. Transp. Syst., 18 (9): 2387-2396 (2017)CJAMmer - traffic JAM Cause Prediction using Boosted Trees., and . ITSC, page 743-748. IEEE, (2016)On Improving Operational Planning and Control in Public Transportation Networks using Streaming Data: A Machine Learning Approach. University of Porto, Portugal, (2015)Developing Dynamic Reports Using Rich Internet Applications.. CENTERIS (2), volume 110 of Communications in Computer and Information Science, page 436-445. Springer, (2010)On Learning from Taxi GPS Traces (Preamble)., and . DC@PKDD/ECML, volume 1526 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning., , , and . PAKDD (1), volume 9651 of Lecture Notes in Computer Science, page 552-564. Springer, (2016)BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract)., , , , , and . ICDE, page 2145-2146. IEEE, (2019)Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015., , and . (July 2015)A Scenario-Oriented Approach for Noise Detection on Traffic Flow Data., , and . ITSC, page 143-148. IEEE, (2015)