Open AccessTechnical challenges and perspectives in batch and stream big data machine learning
Author(s) -
Kvsn Rama Rao,
S. Sivakannan,
Mahendra Prasad,
R. Saravanan
Publication year - 2017
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i1.3.9225
Subject(s) - big data , computer science , internet of things , data science , the internet , data stream mining , server , data stream , artificial intelligence , machine learning , world wide web , data mining , telecommunications
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.