Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
384753 | Expert Systems with Applications | 2009 | 6 Pages |
Abstract
Data mining, an efficient method of business intelligence, is a process to extract knowledge from large scale data. As the augment of the size of enterprise and the data, data mining as a way to make use of the data become more and more necessary. But now most of the literatures only focus on the algorithm itself. Few literatures research what qualification to fulfill before the decision doing data mining from the perspective of the company manager. This paper discusses the factors affect the data mining project. Based on the Bayesian risk, we build a model taking the risk attitude of the top executive in account to help them make decision whether to do data mining or not.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Guangli Nie, Lingling Zhang, Ying Liu, Xiuyu Zheng, Yong Shi,