| 000 | 01442nam a2200229 4500 | ||
|---|---|---|---|
| 005 | 20250714175905.0 | ||
| 008 | 250714b2020|||||||| |||| 00| 0 eng d | ||
| 020 | _a9781119777007 | ||
| 041 | _aEnglish | ||
| 082 | _a005.7 | ||
| 100 |
_aSchmitt, Eglantine _eAuthor _96572 |
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| 245 | _aBig data: An art of decision making | ||
| 250 | _a1st ed. | ||
| 260 |
_a New Jersey: _b Wiley Data and Cybersecurity, _c2020. |
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| 300 | _axiii, 259p. | ||
| 500 | _aManipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and exploratory outlook - already well known in the social sciences and the humanities - to convey intelligible results from data analysis algorithms and create new knowledge. Big Data is based on an inquiry of several years within Proxem, a software publisher specializing in big data processing. The book examines how data scientists explore, interpret and visualize our digital traces to make sense of them, and to produce new knowledge. Grounded in epistemology and science and technology studies, Big Data offers a reflection on data in general, and on how they help us to better understand reality and decide on our daily actions. | ||
| 650 |
_aTrace to Web Data _96573 |
||
| 650 |
_a A Practical Big Data Use Case _96574 |
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| 650 |
_aThe Art of Data Visualization _96575 |
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| 856 | _uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=9820910 | ||
| 942 | _cEB | ||
| 999 |
_c1629 _d1629 |
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