E-business intelligence via MCMP-based data mining methods

Authors:
Yi Peng;Yong Shi;Xingsen Li;Zhengxin Chen;Gang Kou
Affiliations:
School of Management, University of Electronic Science and Technology of China;CAS Res. Center on Fictitious Economy and Data Sci., Beijing, China and Sch. of Management, Graduate Univ. of the Chinese Academy of Sciences, Beijing, China and College of Inf. Sci. and Techn., U ...;School of Management, Graduate University of the Chinese Academy of Sciences, Beijing, China;College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE;Thomson Co., Eagan, MN
Venue:
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Year:
2006

Citing 6
Cited 0

Data mining: concepts and techniques

Data mining: concepts and techniques
Data Mining and Business Intelligence: A Guide to Productivity

Data Mining and Business Intelligence: A Guide to Productivity
Introduction To Business Data Mining

Introduction To Business Data Mining
Envisioning intelligent information technologies through the prism of web intelligence

Communications of the ACM - Emergency response information systems: emerging trends and technologies
A Knowledge Management Platform for Optimization-based Data Mining

ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example

ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops

Quantified Score

Hi-index	0.00

Visualization

Abstract

Organizations gain competitive advantages and benefits through e-Business Intelligence (e-BI) technologies at all levels of business operations. E-BI gathers, processes, and analyzes tremendous relevant data to help enterprises make better decisions. Data mining, which utilizes methods and tools from various fields to extract useful knowledge from large amount of data, provides significant support to e-BI/BI applications. This paper presents an overview of a data mining approach: Multiple Criteria Mathematical Programming (MCMP); describes a real-life application using MCMP; and explains how business users at different levels can benefit from the results of MCMP. Then three application models were presented for efficient implementation of e-BI/BI by MCMP models.