期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2239
页码：262-266
出版社：Newswood and International Association of Engineers
摘要：Big data has become one of new research frontiers.
It is a collection of a large-scale and complex data sets that it
becomes more difficult to process using current database management
systems and traditional data processing applications.
There are two challenges while dealing with big data: (1) how to
analyze big data efficiently; (2) visualization and presentation
of big data because of the larger volume, variety, and velocity
of the information.
This study proposes a cloud business intelligence system
for visual analytics with big data. A new kernel method for
analyzing big data is proposed. The principle of semismooth
support vector machine is introduced to collaborate with the
interval regression model. The proposed kernel method can
resolve the following problem efficiently: (1) big data; (2) noises
and interaction of the separation margin; (3) unbalance of the
separation margin.
关键词：big data; data visualization; cloud business
intelligence system; interval regression model;
