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A Grey Theory Based Approach to Big Data Risk Management Using FMEA
2016
Mathematical Problems in Engineering
Big data is the term used to denote enormous sets of data that differ from other classic databases in four main ways: (huge) volume, (high) velocity, (much greater) variety, and (big) value. In general, data are stored in a distributed fashion and on computing nodes as a result of which big data may be more susceptible to attacks by hackers. This paper presents a risk model for big data, which comprises Failure Mode and Effects Analysis (FMEA) and Grey Theory, more precisely grey relational
doi:10.1155/2016/9175418
fatcat:3bboawqh4jftfmvjtofhkholge