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ReForeSt: Random Forests in Apache Spark.

, , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 331-339. Springer, (2017)

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Mining Big Data with Random Forests., , and . Cognitive Computation, 11 (2): 294-316 (2019)Train Overtaking Prediction in Railway Networks: A Big Data Perspective., , , , , and . INNSBDDL, page 142-151. Springer, (2019)A Spatial Analysis of Multiplayer Online Battle Arena Mobility Traces., and . Euro-Par Workshops, volume 10659 of Lecture Notes in Computer Science, page 496-506. Springer, (2017)Current Flow Betweenness Centrality with Apache Spark., , and . ICA3PP, volume 10048 of Lecture Notes in Computer Science, page 270-278. Springer, (2016)ReForeSt: Random Forests in Apache Spark., , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 331-339. Springer, (2017)Scalable and flexible clustering solutions for mobile phone-based population indicators., , , , , , and . Int. J. Data Sci. Anal., 4 (4): 285-299 (2017)A Multi-layer Framework for Graph Processing via Overlay Composition., , , and . Euro-Par Workshops, volume 9523 of Lecture Notes in Computer Science, page 515-527. Springer, (2015)Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System., , , , and . DSAA, page 371-380. IEEE, (2018)NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data., , , and . PVLDB, 10 (3): 157-168 (2016)TRACE: Generating Traces from Mobility Models for Distributed Virtual Environments., , and . Euro-Par Workshops, volume 10104 of Lecture Notes in Computer Science, page 272-283. Springer, (2016)