Title :
The Application of Data Mining in Statistics of R&D
Author :
Liu Shan ; Zhou Xuefeng
Author_Institution :
Math. & Comput. Sci. Dept., Jiangxi Sci. & Technol. Normal Univ., Nanchang, China
Abstract :
In the field of statistics in R&D (research and Experimental development), the traditional methods of statistical analysis have difficult to competent the needs of social development. Based on the basic principles and methods of data mining technology, the article first defines the content steps and steps content of the scientific and technical data of the statistics in R&D, analysis the method of data mining technology, and its important role in Statistics of R&D, moreover the paper gives the process of data mining in Statistics of R&D.
Keywords :
data mining; research and development; statistical analysis; R&D statistics; Science-and-Technology Agency; data mining technology; research-and-experimental development; scientific activities; social development; statistical analysis method; technological activities; Analytical models; Data mining; Data models; Databases; Economics; Patents; Statistical analysis; R&D Data Mining Technology Statistics;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.408
