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10.1016/j.procs.2021.03.017 http://scihub22266oqcxt.onion/10.1016/j.procs.2021.03.017 34025822!8128671!34025822     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Procedia+Comput+Sci 2021 ; 184 (ä): 52-59 Nephropedia Template TP {{tp|p=34025822|t=2021. The Efficiency of Learning Methodology for Privacy Protection in Context-aware Environment during the COVID-19 Pandemic |pdf=|usr=}}{{34025822}} gab.com Text The Efficiency of Learning Methodology for Privacy Protection in Context-aware Environment during the COVID-19 Pandemic JO: Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=34025822 #FOAvip When the COVID-19 coronavirus hit, the context-aware application users were willing to relax their context privacy preferences during the lockdown to cope their lives while staying home. Such disturbance in the privacy behavior affected the performance of Machine Learning (ML) algorithm that is trained on normal behavior. In this paper, we present the impact of the pandemic on the efficiency of the learning algorithm implementation of a privacy protection system. The system is composed of three modules, in this work we focus on Privacy Preferences Manager (PPM) module which is implemented using hybrid methodology based on a Statistical Model (SM) and Logistic Regression (LR) learning algorithm. The efficiency of the hybrid methodology is assessed using two real-world datasets collected prior and during the COVID-19 pandemic. The results show that the pandemic significantly impacted the efficiency of the hybrid methodology by 13.05% and 15.22% for the accuracy and F1 score respectively. Twit Text FOAVip The Efficiency of Learning Methodology for Privacy Protection in Context-aware Environment during the COVID-19 Pandemic ????Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=34025822 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34025822 #FOAvip English Wikipedia <ref>{{Cite pmid|34025822}}</ref> The Efficiency of Learning Methodology for Privacy Protection in Context-aware Environment during the COVID-19 Pandemic #MMPMID34025822 Alawadhi R; Hussain T Procedia Comput Sci 2021[]; 184 (ä): 52-59 PMID34025822show ga When the COVID-19 coronavirus hit, the context-aware application users were willing to relax their context privacy preferences during the lockdown to cope their lives while staying home. Such disturbance in the privacy behavior affected the performance of Machine Learning (ML) algorithm that is trained on normal behavior. In this paper, we present the impact of the pandemic on the efficiency of the learning algorithm implementation of a privacy protection system. The system is composed of three modules, in this work we focus on Privacy Preferences Manager (PPM) module which is implemented using hybrid methodology based on a Statistical Model (SM) and Logistic Regression (LR) learning algorithm. The efficiency of the hybrid methodology is assessed using two real-world datasets collected prior and during the COVID-19 pandemic. The results show that the pandemic significantly impacted the efficiency of the hybrid methodology by 13.05% and 15.22% for the accuracy and F1 score respectively. äThe Efficiency of Learning Methodology for Privacy Protection in Conte(epmc).pdf DeepDyve Pubget Overpricing