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Big Data and Business Analytics
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Jay Liebowitz, D. At Johns Hopkins University, he was the founding program director for the Graduate Certificate in Competitive Intelligence and the capstone director of the MS-Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and not-for-profits in capstone projects.
At the same time the emergence of new business models and the diversification of the player base have exposed a broader potential audience which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels. This, in turn, has led to a growing interest in data mining techniques as they offer new opportunities for deriving actionable insights in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. This volume seeks to provide a comprehensive overview of data mining applications pertaining to all aspects of gaming and entertainment. It is intended to serve as a reference volume for academics and practitioners alike. The book will be structured along four main themes, covering different aspects of data mining in games. Possible topics of interest for each of the themes are listed below.