Effective Machine Learning Techniques used in Big Data Analytics

Authors

  • S. Senthil Kumar Assistant Professor, Department of Commerce with Computer Applications, Dr.SNS Rajalakshmi College of Arts and Science (Autonomous), Coimbatore, Tamil Nadu, India
  • V. Kathiresan Head, Department of Computer Applications (PG), Dr.SNS Rajalakshmi College of Arts and Science (Autonomous), Coimbatore, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajsat-2017.6.1.942

Keywords:

Big data, Feature Selection, Supervised Learning, Unsupervised Learning, Deep Learning

Abstract

Big data is a general term for massive amount of digital data being collected from various sources that are too large and raw in form. Big data deals with new challenges like complexity, security, risks to privacy. Big data is redefining the data management from extraction, transformation and processing to cleaning and reducing [1].
There has been a lot of growth in the amount of data generated by web these days. The data has been so large that it becomes difficult to analyse it with the help of our traditional mining methods. Big data term has been coined for data that exceeds the processing capability [2]. Moreover, the rising data volume has contributed to the increasing demand for big data analytics.

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Published

05-05-2017

How to Cite

Senthil Kumar, S., & Kathiresan, V. (2017). Effective Machine Learning Techniques used in Big Data Analytics. Asian Journal of Science and Applied Technology, 6(1), 18–21. https://doi.org/10.51983/ajsat-2017.6.1.942