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Privacy preserving feature selection and Multiclass Classification for horizontally distributed data.

, , , , and . Math. Found. Comput., 1 (4): 331-348 (2018)

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Privacy preserving feature selection and Multiclass Classification for horizontally distributed data., , , , and . Math. Found. Comput., 1 (4): 331-348 (2018)Influence maximization by probing partial communities in dynamic online social networks., , , , , and . Trans. Emerg. Telecommun. Technol., (2017)Using crowdsourced data in location-based social networks to explore influence maximization., , , and . INFOCOM, page 1-9. IEEE, (2016)Privacy Preserving Multiclass Classification for Horizontally Distributed Data., , , , and . SIGITE, page 165. ACM, (2018)Data Aggregation Scheduling in Probabilistic Wireless Networks with Cognitive Radio Capability., , , , and . GLOBECOM, page 1-6. IEEE, (2016)Near-Complete Privacy Protection: Cognitive Optimal Strategy in Location-Based Services., , , , , and . IIKI, volume 129 of Procedia Computer Science, page 298-304. Elsevier, (2017)Cognitive Approach for Location Privacy Protection., , , , , , and . IEEE Access, (2018)An exploration of broader influence maximization in timeliness networks with opportunistic selection., , , and . J. Netw. Comput. Appl., (2016)Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems., , , , , and . Sensors, 16 (4): 481 (2016)Long Range Iris Recognition a Reality or a Myth?: A Survey., , and . ACM Southeast Regional Conference, page 305-306. ACM, (2020)