New Trends in Modelling Climate Change in the Era of Big Data
Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 2
Abstract
Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with. It is typically characterized by the so called, seven “V’s” namely; volume, velocity, variety, Value, Veracity, variability and validity. Big Data can be thus defined as very high volume, velocity and variety of data that require a new high-performance processing. Thus, this research work survey different technique for handling big data for modelling climate change. Various statistical models were examined and X-ray. The survey shows that ANCOVA (analysis of covariance) is the appropriate technique for handling big data. ANCOVA contains a mixture of qualitative variables associated with analysis of variance (ANOVA) and the quantitative variables associated with regression analysis. ANCOVA is the meeting point under the umbrella of analysis of variance and regression techniques.
Authors and Affiliations
Osuolale Peter POPOOLA, Nicholas Nsowah NUAMAH
Keywords
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