Titlebook: Analytics and Data Science; Advances in Research Amit V. Deokar,Ashish Gupta,Mary C. Jones Book 2018 Springer International Publishing AG 2

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https://doi.org/10.1007/978-3-319-58097-5Analytics and Data Science (A&DS); Analytics; Data Science; Supply Chain Analytics; Data Mining; Data Man

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Davide Catta,Luc Pellissier,Christian Retorértificial neural network (neural net), which can be used for predictive modeling. This chapter provides a brief introduction to the topic of neural nets, along with a tutorial in which a working neural net is built and then used to make predictions.

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Introduction: Research and Research-in-Progress,s analytics from the perspectives of organizations, faculty, and students. The research track aimed to promote comprehensive research or research-in-progress on the role of business intelligence and analytics in the creation, spread, and use of information. This work has been summarized in this chapter.

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Neural Net Tutorial,rtificial neural network (neural net), which can be used for predictive modeling. This chapter provides a brief introduction to the topic of neural nets, along with a tutorial in which a working neural net is built and then used to make predictions.

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Tareq Alkhaldi,Chenhui Chu,Sadao Kurohashicisions. Using data collected from the Google App store, our empirical study shows that long and easy-to-read user reviews with mildly negative reviews can increase the likelihood of a future mobile app update. Our findings highlight the need for researchers to explore user generated reviews in the context of customer-centered product innovation.