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Fast and Effective Clustering of Spam Emails Based on Structural Similarity.

, , , , and . FPS, volume 9482 of Lecture Notes in Computer Science, page 195-211. Springer, (2015)

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Privacy-preserving text mining as a service., , , , and . ISCC, page 890-897. IEEE Computer Society, (2017)Privacy-Aware Data Sharing in a Tree-Based Categorical Clustering Algorithm., , , and . FPS, volume 10128 of Lecture Notes in Computer Science, page 161-178. Springer, (2016)On the Abstraction of a Categorical Clustering Algorithm., , and . MLDM, volume 9729 of Lecture Notes in Computer Science, page 659-675. Springer, (2016)Privacy Preserving Expectation Maximization (EM) Clustering Construction., , and . DCAI, volume 800 of Advances in Intelligent Systems and Computing, page 255-263. Springer, (2018)Fast and Effective Clustering of Spam Emails Based on Structural Similarity., , , , and . FPS, volume 9482 of Lecture Notes in Computer Science, page 195-211. Springer, (2015)Try Walking in My Shoes, if You Can: Accurate Gait Recognition Through Deep Learning., , , and . SAFECOMP Workshops, volume 10489 of Lecture Notes in Computer Science, page 384-395. Springer, (2017)Privacy-Preserving Multi-Party Access Control., , , and . WPES@CCS, page 1-13. ACM, (2019)Privacy Preserving Random Decision Tree Classification Over Horizontally and Vertically Partitioned Data., , , and . DASC/PiCom/DataCom/CyberSciTech, page 600-607. IEEE Computer Society, (2018)Modeling Privacy Aware Information Sharing Systems: A Formal and General Approach., , and . Trustcom/BigDataSE/ISPA, page 767-774. IEEE, (2016)A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware., , , , , and . PDP, page 321-328. IEEE Computer Society, (2017)