Journal of Information and Management
Online ISSN : 2189-9681
Print ISSN : 1882-2614
ISSN-L : 1882-2614
Big Data And Analysis Methods For It
Ryoichi FukushimaMaomi Ueno
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JOURNAL OPEN ACCESS

2016 Volume 36 Issue 4 Pages 18-28

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Abstract
This article introduces and reviews recent analyses methods on big data. We first introduce several kinds of definitions of big data based on Volume,Variety,Velocity, and Value extracted from data. Next, we describe that big data can be classified into three types – 1. various kinds of data with very large volume or producing very fast, 2. sparse data and 3. universal data –. Then we derive three important factors for utilizing big data – big data technologies, visualization and techniques for analyzing big data – and introduce the details of each factor corresponding to that three types of big data.
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© 2016 Japan Society for Information and Management
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