MSMiner—a developing platform for OLAP |
| |
| Authors: | Zhongzhi Youping Qing Lida Xu Shaohui Liu Liangxi Ziyan Jiayou Li Huijing Lei Zhao |
| |
| Affiliation: | aInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China;bGraduate School of the Chinese Academy of Sciences, Beijing 100039, China;cDepartment of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA 23529, USA |
| |
| Abstract: | Since the early 1970s, decision support systems (DSS) have evolved significantly. In this paper, the design and implementation of MSMiner, a developing platform for DSS, is introduced. The system is constructed on a data warehouse and integrated with a number of data mining algorithms. It is well suited for on-line analytical processing (OLAP). The characteristics of MSMiner include the ability to support multiple data sources and data mining strategies, additional organizational flexibility in regard to data and mining strategies, and the powerful expansibility of data mining tasks. |
| |
| Keywords: | DSS Business intelligence OLAP Data mining Data warehouse ETL |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
