Technical challenges and perspectives in batch and stream big data machine learning

Machine Learning is playing a predominant role across various domains. However traditional Machine Learning algorithms are becoming unsuitable for majority of applications as the data is acquiring new characteristics. Sensors, devices, servers, Internet, Social Networking, Smart phones and Internet...

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Published inInternational journal of engineering & technology (Dubai) Vol. 7; no. 1.3; p. 48
Main Authors Rama Rao, KVSN, S, Sivakannan, Prasad, M.A., Agilesh Saravanan, R.
Format Journal Article
LanguageEnglish
Published 2018
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Summary:Machine Learning is playing a predominant role across various domains. However traditional Machine Learning algorithms are becoming unsuitable for majority of applications as the data is acquiring new characteristics. Sensors, devices, servers, Internet, Social Networking, Smart phones and Internet of Things are contributing the major sources of data. Hence there is a paradigm shift in the Machine learning with the advent of Big Data. Research works are in evolution to deal with Big Data Batch and stream real time data. In this paper, we highlighted several research works that contributed towards Big Data Machine Learning.
ISSN:2227-524X
2227-524X
DOI:10.14419/ijet.v7i1.3.9225