ANALYTICS OF BIG DATA

Authors

  • Talegaon S Parul Institute of Engineering and Technology, Dist. Vadodara, State : Gujarat

Keywords:

machine learning, pattern recognition, sentiment analysis, social networking analysis

Abstract

Big Data analytics has started to impact all types of organizations, as it carries the potential power to extract embedded knowledge from big amounts of data and react according to it in real time. The current technology enables us to efficiently store and query large datasets, the focus is now on techniques that make use of the complete data set, instead of sampling. This has tremendous implications in areas like machine learning, pattern recognition and classification, sentiment analysis, social networking analysis to name a few. Therefore, there are a number of requirements for moving beyond standard data mining technique. Purpose of this paper is to understand various techniques to analysis data.

References

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Published

2024-02-26

How to Cite

Talegaon, S. (2024). ANALYTICS OF BIG DATA. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(10), 1124–1127. Retrieved from https://ijact.in/index.php/j/article/view/198

Issue

Section

Original Research Article

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