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Supervised Learning Techniques in Big Data: A New Perspective

S. Charles, D. Charles Raj


Big data is an emerging technology, which enables to determine the facts from various repositories using analytics. In an earlier stage, the researchers are not able to handle huge amount of data. The various techniques are employed for finding the accuracy of huge amount of data. In this context, a machine learning technique helps to predict the information from big data repositories. In machine learning techniques, there are supervised, semi-supervised and unsupervised learning schemes are used to predict the information. In this paper, supervised techniques and their issues are considered for the discussion in various applications of big data.


Big Data, Supervised Classification, Decision Tree, Support Vector Machine.

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