Explanation of Exceptional Values in Multidimensional Business Databases

摘要：

In this paper, we describe an extension of the Online Analytical Processing (OLAP) framework with causal explanation, offering the possibility to automatically generate explanations for exceptional cell values. This functionality can be built into conventional OLAP databases using a generic explanation formalism, which supports the work of managers in diagnostic processes. The central goal is the identification of specific knowledge structures and reasoning methods required to construct computerized explanations from multi-dimensional data. The extended methodology was tested on a case study that involves the analysis of an OLAP data set on stolen vehicles in The Netherlands. The findings suggest that improved decision-making by managers is possible because automated problem identification and explanation generation enhances the current tedious and error-prone manual analysis process. It is also noted that this novel methodology has general utility for decision support systems.

关键词： Decision support systems OLAP Multidimensional databases Explanation Data mining

作者: E.A.M.CARON A.VEENSTRA

作者单位: Erasmus University Rotterdam,Erasmus Research Institute of Management,P.O.Box 1738,3000 DR,Rotterdam,The Netherlands

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）