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Big Data and Information Theory
Big Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement. Rapid development of data analytic and information theory allows companies to store vast amounts of information about production, inventory, service, and consumer activities. More powerful CPUs and cloud computing make it possible to do complex optimization instead of using heuristic algorithms, as well as instant rather than offline decision-making. The era of "big data" challenges includes analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data calls for better integration of optimization, statistics, and data m...
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Financial Statistics and Data Analytics
Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.
The Ethics of Tax Evasion
Why do people evade paying taxes? This is the central question addressed in this volume by Robert McGee and a multidisciplinary group of contributors from around the world. Applying insights from economics, public finance, political science, law, philosophy, theology and sociology, the authors consider the complex motivations for not paying taxes and the conditions under which this behavior might be rationalized. Applying theoretical approaches as well as empirical research, The Ethics of Tax Evasion considers three general arguments for tax evasion: (1) in cases where the government is corrupt or engaged in human rights abuses; (2) where citizens claim inability to pay, unfairness in the ta...
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