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T he ever increasing b ig data is acclaim ed,and the key po in t o f big data is data analysis. H ow ever focusing on the b ig data w ith dynam ic and m ultip le-d im ensiona l characteristic ? i t is d if f ic u lt fo r trad itio n a l data analysis m ethods to obta in re liable and accurate analytica l resu lts. T here fore there is an im portan t o p p o rtu n ity and a great challenge fo r the data analysis methods to be developed. I t aims to make an im portan t research and investiga tion o f the m ultip le corre la­ tio n analysis fo r dynam ic big data. T he research object is dynam ic big data, and the research is based on the theory o f g ranu la r com puting (G rC). W e go t the theoretica l though t o f granu la r m a tr ix com plete ly new in th is paper. I t was ex­ pected to reveal the m u ltip le corre la tion analysis fo r dynamic big data. O n one hand the achievements o f th is research w ou ld provide a scien tific basis fo r m u ltip le corre la tion analysis and revelation o f the objective law in big data area. On the other hand i t is also an im p orta n t im p lica tion fo r sustainable development o f big data.

面向大数据的多维粒矩阵关联分析及应用 (Multiple Correlation Analysis and Application of Granular Matrix Based on Big Data).