International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 180 - Number 39 |
Year of Publication: 2018 |
Authors: B. Hanmanthu, R. Rajesh, P. Niranjan |
10.5120/ijca2018917041 |
B. Hanmanthu, R. Rajesh, P. Niranjan . Parallel Optimal Grid-Clustering algorithm exploration on MapReduce Framework. International Journal of Computer Applications. 180, 39 ( May 2018), 35-39. DOI=10.5120/ijca2018917041
The MapReduce frame work is one which is proven that is as the best suitable framework which can be used to carry out Big data analytics. The big data analytics playing a vital role in real time data analysis applications. Where as in the conventional data mining techniques the clustering technique is proven as that the most useful technique for effective data analysis. From our literature review we found that there are no sufficient clustering techniques suitable for processing big data. Taking this as a disadvantage we are exploring the optimal grid clustering techniques for big data analysis using MapReduce architecture. The initial level experiments conducted using this proposed model is shown magnificent upshot.