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Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment.

, , , , and . CIKM, page 1827-1830. ACM, (2015)

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A scalable sampling scheme for clustering in network traffic analysis., , and . Infoscale, volume 304 of ACM International Conference Proceeding Series, page 38. ACM, (2007)Approximate data mining in very large relational data., , , and . ADC, volume 49 of CRPIT, page 3-13. Australian Computer Society, (2006)Characteristic-Based Descriptors for Motion Sequence Recognition., , , and . PAKDD, volume 5012 of Lecture Notes in Computer Science, page 369-380. Springer, (2008)Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing., , , , and . PAKDD (1), volume 8443 of Lecture Notes in Computer Science, page 581-593. Springer, (2014)Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach., , and . IJCNN, page 1-8. IEEE, (2019)Parking availability prediction for sensor-enabled car parks in smart cities., , and . ISSNIP, page 1-6. IEEE, (2015)Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions., , , , , , and . IJCAI, page 1078-1085. ijcai.org, (2019)Improving load forecasting based on deep learning and K-shape clustering., , , , and . IJCNN, page 4134-4141. IEEE, (2017)CESVM: Centered Hyperellipsoidal Support Vector Machine Based Anomaly Detection., , and . ICC, page 1610-1614. IEEE, (2008)The Development of an Interactive Fault Diagnosis Expert System for Telecommunication Applications., and . PRICAI, volume 1114 of Lecture Notes in Computer Science, page 59-70. Springer, (1996)