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Approaches and Challenges of Big Data Analytics—Study of a Beginner

  • Ankita Roy
  • Soumya Ray
  • Radha Tamal Goswami
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 458)

Abstract

Big data analytics is a process of examining large set of data and extracting only the useful information out of it for further research. Data that is generated these days doesn’t follow any particular structure. Data can be structured, un-structured or semi-structured. Data can be in form of text, image, video, live streams etc. It is a challenging job to handle such data for data mining, web mining and text mining or environmental research works. In this paper we have discussed about the step by step process of big analytics and the relevant challenges while applying on real life events. Also this paper provides a comparative study on the popular data mining algorithms which are generally used for big analytics.

Keywords

Data mining Big data Big analytics Algorithms Applications of big data 

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Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringBirla Institute of Technology, MesraKolkataIndia

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