Volume 18, No. 6, 2021
A Case Study Of Clustering And Classification Methods For Big Data Analysis In Distributed Environment
Yukti Kashyap , Dr. Mayank Singh Parihar
Abstract
The modern age is the age of internet, communication technology and globalization which is all about innovation and highly advanced world alongside the utilizationof all the sources which are connected to the distributed environment. In the use of this technology huge amount of information is produced by many sources, many clients and many organization whom are connected through the internet in distributed environment. To store such massive volume of data many servers are used and many users can access these data from multiple servers through the connectivity. The analysis process of this huge amount of data takes lot of efforts at every level of data extraction. The key objective of this case study is to examine the analysis process done in past through the use of many different clustering and classification methods. this research article is to describe the challenges, issues and problems in big data analysis along with the tools and techniques which are used for the clustering and classification techniques. This research paper also helps to find a better way to handle the problems of big data analysis in aspects of distributed environment.
Pages: 7828-7835
Keywords: Big data analysis, Clustering and Classification, Distributed Environment.