文章基本信息

标题：A Survey on Analysis of Big Data Clustering Techniques and Challenges
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作者：Ch. Radhika
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：4
页码：7132
DOI：10.15680/IJIRCCE.2017.05040108
出版社：S&S Publications
摘要：Big data is usually defined by three characteristics called 3Vs (Volume, Velocity and Variety). It refersto data that are too large, dynamic and complex. In this context, data are difficult to capture, store, manage, and analyzeusing traditional database management tools. There are various techniques to analyse Big data. As Big data variesfrom terabytes to petabytes of data which leads to high computational costs and complexity. The question is how tocope with this problem and how to deploy a suitable technique to assess Big data and to get the results in a reasonabletime. This paper aims to review and make a concise survey related to clustering techniques in Big data context.
关键词：Big data; clustering; parallel; MapReduce