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A Recent Survey on Big Data Analytics using Data Mining Techniques

Author(s):

P. Mythili , Karpagam University

Keywords:

Hadoop, Map Reduce, Clustering, Prediction, Decision Trees

Abstract

Big data is the phrase meant for a gathering of information sets which are large and complex, it enclose both prearranged and formless type of data. Big Data is a term defining data with three foremost inimitability. First, it involves a great volume of data. Second, the data cannot be structured into regular database tables and third, the data is produced with great velocity and must be captured and processed fast. Oracle adds a fourth characteristic for this kind of data and that is low value density, meaning that sometimes there is a very big volume of data to process before finding valuable needed in sequence. Data comes from everywhere, sensors used to gather climate information, posts to social media sites, digital pictures and videos etc this data is renowned as big data. Constructive data can be pulled out from this big data by means through the aid of data mining. Data mining is a technique for discovering attractive patterns as well as descriptive, understandable models from large scale data. In this paper we overviewed types of big data and challenge in big data for future.

Other Details

Paper ID: IJSRDV5I20951
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 1231-1234

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