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A Survey on Big Data Challenges in Fuzzy Algorithms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 145 - Number 5 |
| Year of Publication: 2016 |
| Authors: Kanika Maheshwari, Vivek Sharma |
10.5120/ijca2016910617
|
Kanika Maheshwari, Vivek Sharma . A Survey on Big Data Challenges in Fuzzy Algorithms. International Journal of Computer Applications. 145, 5 ( Jul 2016), 15-17. DOI=10.5120/ijca2016910617
Abstract
In this paper the survey is done on various challenges that faced during clustering of very large data or fuzzy clustering algorithms that applied over big data in various substantive areas. Big data is a term which is used to define large volume of data. Due to its large size this takes huge volumes to store it thus it is simply inappropriate to use such algorithms that require full data set to analyze data efficiently as data is rapidly increasing and it will require a hard core system to process such larger needs algorithm. In data analysis, clustering plays an important role to find the underlying pattern structure as big data contains so much uncertainty in it, so fuzzy clustering is one of the best methods to capture the uncertainty. In that survey paper we are focusing on the methods and fuzzy algorithms that works well to address fuzzy clustering related problems or challenges. General terms Clustering, fuzzy set, problems addressing, analysis.
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