Title :
Research on In-Memory Computing Model and Data Analysis
Author :
Wu Jun;Huang Zhixiong
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
The ever-increasing Big Data is acclaimed, and the key point of Big Data is data analysis. However focusing on the Big Data with dynamic and multiple-dimensional characteristic is difficult to obtain reliable and accurate analytical results by the traditional data analysis methods. Therefore this is an important opportunity and great challenge for the data analysis methods to be developed. This paper aims to make an important research and investigation of the multiple correlation analysis for dynamic Big Data. The paper is expected to reveal the multiple correlation analysis for dynamic Big Data. On one hand this paper research achievements would provide a scientific basis for multiple correlation analysis and revelation of the objective law in Big Data area. On the other hand it is also an important implication for sustainable development of Big Data.
Keywords :
"Big data","Databases","Data models","Computational modeling","Correlation","Real-time systems","Data analysis"
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
DOI :
10.1109/ICICTA.2015.184