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Adaptive scalable pipelines for political event data generation., , , , , , and . IEEE BigData, page 2879-2883. IEEE Computer Society, (2017)Spark-Based Political Event Coding., , , , and . BigDataService, page 14-23. IEEE Computer Society, (2016)APART: Automatic Political Actor Recommendation in Real-time., , , , and . SBP-BRiMS, volume 10354 of Lecture Notes in Computer Science, page 342-348. Springer, (2017)Spark-based anomaly detection over multi-source VMware performance data in real-time., , , , and . CICS, page 66-73. IEEE, (2014)Online anomaly detection for multi-source VMware using a distributed streaming framework., , , , , and . Softw. Pract. Exp., 46 (11): 1479-1497 (2016)Statistical technique for online anomaly detection using Spark over heterogeneous data from multi-source VMware performance data., , , and . IEEE BigData, page 1086-1094. IEEE Computer Society, (2014)Near real-time atrocity event coding., , , , , and . ISI, page 139-144. IEEE, (2016)Host-Based Anomaly Detection Using Learning Techniques., , , , and . ICDM Workshops, page 1153-1160. IEEE Computer Society, (2013)RePAIR: Recommend political actors in real-time from news websites., , , , and . IEEE BigData, page 1333-1340. IEEE Computer Society, (2017)Real-time anomaly detection over VMware performance data using storm., , and . IRI, page 458-465. IEEE Computer Society, (2014)