Research on big data query online analysis and processing technology on the basis of decision tree model

doi:10.2174/1874444301507011082

CORC > 北京大学 > 信息科学技术学院

	Research on big data query online analysis and processing technology on the basis of decision tree model
	Liu, Lixia ; Mei, Hong ; Xie, Bing
刊名	Open Automation and Control Systems Journal
	2015
DOI	10.2174/1874444301507011082
英文摘要	In this paper, we prompt a new big data query online analysis and processing method based on decision tree model. The purpose of this dissertation is to realize the high-efficiency of multi-dimensional OLAP query by studying the key approaches for improving the OLAP query efficiency. In order to bring the full play of data analysis, the concept of on-line analytical mining (OLAM) is used for reference in this dissertation. Data mining techniques and statistical analysis approaches are integrated to form an OLAP query frame. Then the key techniques are studied in the framework. A new kind of OLAP query which is different from traditional cube query is proposed, called muti-boid query. This query can be used in the moving objects network. And we implement graph cubes through the combination of moving objects network characteristics and existing data cube technology. ? Liu et al.; EI; 1; 1082-1087; 7
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/435977]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liu, Lixia,Mei, Hong,Xie, Bing. Research on big data query online analysis and processing technology on the basis of decision tree model[J]. Open Automation and Control Systems Journal,2015.
APA	Liu, Lixia,Mei, Hong,&Xie, Bing.(2015).Research on big data query online analysis and processing technology on the basis of decision tree model.Open Automation and Control Systems Journal.
MLA	Liu, Lixia,et al."Research on big data query online analysis and processing technology on the basis of decision tree model".Open Automation and Control Systems Journal (2015).