A Conceptual Review on Data Mining in Big Data

Abstract

Big data is a term used for massive collection of complex data sets. Social networking, easily available technology and devices, etc. lead to unprecedented Big Data generation in past few years. Data comes from everywhere like posts on social networking website (example Facebook, Twitter), digital photos and videos. From this large collection of data sets, useful extraction of data can be done by using data mining. Proper handling of Big Data helps to discover facts, patterns and new models, data mining techniques are used for this purpose. In this article HACE theorem has been mentioned, that portrays the features of big data and how Big data can be processed, taking data mining as a prospect. This paper presents an overview of different Data Mining techniques used to analyze Big Data. It contains reviews of thirty different research paper on Data mining techniques, we have tried to explain the uniqueness ,limitations and how well the techniques is used to resolve the challenges and issues in Big Data.