Finding Frequent Text-Patterns on Big Data using Visualisation Techniques

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Sangram Keshari Swain, Dr. Srinivas Prasad, Dr. M. Vamsi Krishna

Abstract

Big Data has got more importance in various industries over the last couple of years, which is applied on various huge and large data sets because it cannot be stored and process through traditional databases. Big data has huge potential to store and process such huge and large datasets in several ways because, during processing, we are analyzing the large datasets in required time. Text analysis is still somewhat in its infancy but is very promising. Because in most of the companies 80% of data is in unstructured form, while most types of analysis only work with structured data. In this paper, we are discussing some visualization techniques available for Big data. Finally, R package is used to analyze unstructured text because R is freely available and it comes with lots of free packages and powerful tools through which we can easily analyze the large data sets in a sufficient time.

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How to Cite
, S. K. S. D. S. P. D. M. V. K. (2017). Finding Frequent Text-Patterns on Big Data using Visualisation Techniques. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 3(11), 542–544. Retrieved from http://ijfrcsce.org/index.php/ijfrcsce/article/view/344
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