Titlebook: ECML PKDD 2018 Workshops; MIDAS 2018 and PAP 2 Carlos Alzate,Anna Monreale,Tiziano Squartini Conference proceedings 2019 Springer Nature Sw

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Writing and Editing Data Files,ack by release of difficulty parameters in the Rasch model with privacy protection using differential privacy. We provide a first proof of differential privacy in Rasch models and derive the minimum noise level in objective perturbation to guarantee a given privacy budget. We test the workflow in si

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cornucopia

George Martin,Charles Ogburn,Curtis Spraguea is also useful to develop analytical services and for marketing purposes, often based on individual purchasing patterns. However, retail data and extracted models may also provide very sensitive information to possible malicious third parties. Therefore, in this paper we propose a methodology for

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https://doi.org/10.1007/978-3-030-13463-1artificial intelligence; commerce; data mining; data privacy; data security; internet; privacy; privacy pre

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978-3-030-13462-4Springer Nature Switzerland AG 2019

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Conference proceedings 2019n Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018, namely:..MIDAS 2018. – Third Workshop on Mining Data for Financial Applications .and.PAP 2018. – Second International Workshop on Personal Analytics and Privacy...The 12 papers presented in this volume were carefully reviewed and selected from a total of 17 submissions...?.

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