Machine Learning for Big Data Analysis / / ed. by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De.
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...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2019 Part 1 |
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MitwirkendeR: |
Adate, Amit,
Bhattacharyya, Siddhartha, Bhaumik, Hrishikesh, Bick, Markus, Blesik, Till, Chakraborty, Susanta, Choudhury, Abantika, Deb, Moumita, Gorbachev, S. V., Henesey, Lawrence, Ho, Chiung Ching, Mishra, Deepak, Murawski, Matthias, Nirala, Satish, Ponraj, D. Narain, Sagayam, K. Martin, Sur, Surangam, Tripathy, B. K., Vasanth, X. Ajay, Vurucu, Murat, |
HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2018] ©2019 |
Year of Publication: | 2018 |
Language: | English |
Series: | De Gruyter Frontiers in Computational Intelligence ,
1 |
Online Access: | |
Physical Description: | 1 online resource (X, 183 p.) |
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