Frontiers in Data ScienceMatthias Dehmer, Frank Emmert-Streib CRC Press, 16 ott 2017 - 393 pagine Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone. |
Sommario
Legal and policy aspects of information science in emerging automated | |
Privacy as secondary rule or the intrinsic limits of legal orders in the | |
Taking stock and mapping the issues | |
Philosophical and methodological foundations of text data analytics | |
A review | |
Automated business analytics for artificial intelligence in Big DataX | |
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