Titlebook: Data Science and Digital Business; Fausto Pedro García Márquez,Benjamin Lev Book 2019 Springer Nature Switzerland AG 2019 Business Analyti

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Jennifer Feitosa,Adrian Fonsecand privacy protection. However, our knowledge on whether information security (ISec) studies respond in a timely manner to the requirements of industry and the situational changes in security and privacy brought about by digitizing business is limited. In this study, we fully compared the match betw

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Clinical Education: Origins and Outcomesr to obtain timely and accurate insights in a digital business. However, sometimes the expense of using such Data Science facilities in a commercial cloud infrastructure is not affordable to everyone. In this sense, we develop a computing environment based on free software tools over commodity compu

哭得清醒了

https://doi.org/10.1007/978-3-030-34811-3 in marketing and innovation in technology have stepped aside all the conventional ways of doing marketing, even customers are really become demanding and need care. Right now customers have the power and control to make their own decisions. There are three important things from the perspective of c

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Feedback and Debriefing in Mastery Learningitors of each period and their characteristics based on the location data of mobile phone users collected by the mobile phone company. The study sites of this survey are tourist destinations in Ishikawa Prefecture and Toyama city, including Kanazawa city, which became nationally popular after the Ho

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Mastery Learning of Team Skills for predicting the certainty of a binary outcome by using generalized additive models, which known as modern techniques from statistical learning, and the penalized log-likelihood criterion. In our chapter, we develop an estimation problem for GALRM based on B-spline and . (LASSO), unlike the tradi

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Session Debriefing and Use of Recordinghm for a min-max model is presented to determine generalized travel cost for hazmat carriers under uncertain risk. A data-driven bi-level decision support system (DBSS) is developed for robust signal control under risk uncertainty. Since this problem is generally non-convex, a data-driven bounding s

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