A REVIEW STUDY ON BIG DATA ANALYSIS USING R STUDIO

Author:

Savita ,Verma Neeraj

Abstract

Big Data Analytics is a way of extracting value from these huge volumes of information, and it drives new market opportunities and maximizes customer retention. The rapid rise of the Internet and the digital economy has fuelled an exponential growth in demand for data storage and analytics, and IT department are facing tremendous challenge in protecting and analyzing these increased volumes of information. The reason organizations are collecting and storing more data than ever before is because their business depends on it. The type of information being created is no more traditional database-driven data referred to as structured data rather it is data that include documents, images, audio, video, and social media contents known as unstructured data or Big Data. This paper primarily focuses on discussing the various technologies that work together as a Big Data Analytics system that can help predict future volumes, gain insights, take proactive actions, and give way to better strategic decisionmaking.

Publisher

Granthaalayah Publications and Printers

Reference20 articles.

1. Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang, “Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data”, IEEE 2014, PP 315-322

2. Ajith Abraham1, Swagatam Das2, and Sandip Roy3, “Swarm Intelligence Algorithms for Data Clustering”, PP 280-313

3. Automatic Clustering Using an Improved Differential Evolution Algorithm

4. Trends in big data analytics

5. Yanchang Zhao, “R and Data Mining: Examples and Case Studies”, www.RDataMining.com,2014

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