Machine Learning for Big Data Analysis
This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, cu…
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Produktdetails
Weitere Autoren: Bhaumik, Hrishikesh (Hrsg.) / Mukherjee, Anirban (Hrsg.) / De, Sourav (Hrsg.)
- ISBN: 978-3-11-055032-0
- EAN: 9783110550320
- Produktnummer: 27105975
- Verlag: Gruyter, Walter de GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 183 S.
- Masse: H24.6 cm x B17.7 cm x D1.7 cm 508 g
- Reihenbandnummer: 1
- Gewicht: 508
Über den Autor
S. Bhattacharyya, H, Bhaumik, A. Mukherjee, IRR Institute, Kolkatta; S. De, CBG Engin. College, West Bengal, India.
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