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Volume & Issue no: Volume 5, Issue 3, May - June 2016

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Title:
Data Analytics Adopting K Nearest Neighbor Techniques For Big Data
Author Name:
Tejashree,Swathi.Y
Abstract:
Abstract The great deal of interest has risen recently in the field of big data and the analysis has increases and this data is driven from the extensive number of the research challenges related to big and strong bonafide application such as modelling the data, processing the data and distributing large scale of the repository data. Lots of useful data is loss because of improper handle and storage of data. Handling of huge amount of data effectively is difficult tasks. Extracting the useful data, analysis of data, aggregate, and storage of these data in real time is a hurdle for researchers. It need a better management or processing system for that. Here the method used K nearest neighbor techniques for the analysis of the huge volume of data. Keywords: KNN: K Nearest Neighbor, HDFS: Hadoop Distributed File System, Map Reduce
Cite this article:
Tejashree,Swathi.Y , " Data Analytics Adopting K Nearest Neighbor Techniques For Big Data" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 5, Issue 3, May - June 2016 , pp. 032-035 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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