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| 005 | 20250317100400.0 | ||
| 008 | 250312042020xx eng | ||
| 020 | _a9780367657659 | ||
| 037 |
_bTaylor & Francis _cGBP 43.99 _fBB |
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| 040 | _a01 | ||
| 041 | _aeng | ||
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_a005.7 _2bisac |
|
| 100 | 1 | _aMatthias Dehmer | |
| 245 | 1 | 0 | _aFrontiers in Data Science |
| 250 | _a1 | ||
| 260 |
_bCRC Press _c20200930 |
||
| 300 | _a383 p | ||
| 520 | _bFrontiers 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. | ||
| 700 | 1 |
_aFrank Emmert-Streib _4B01 |
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| 999 |
_c1156 _d1156 |
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