E-business intelligence via MCMP-Based data mining methods

被引：0

作者：

Peng, Yi ^{[2
]}

Shi, Yong ^{[1
,3
,4
]}

Li, Xingsen ^{[3
]}

Chen, Zhengxin ^{[4
]}

Kou, Gang ^{[5
]}

机构：

[1] CAS Res Ctr Fictitious Econ & Data Sci, Beijing 100080, Peoples R China

[2] Univ Elect Sci & Technol China, Sch Management, Chengdu, Peoples R China

[3] Chinese Acad Sci, Graduate Univ, Sch Management, Beijing 100080, Peoples R China

[4] Univ Nebraska, Coll Informat Sci & Technol, Omaha, NE 68182 USA

[5] Thomson Co, Eagan, MN 55123 USA

来源：

WEB INTELLIGENCE MEETS BRAIN INFORMATICS | 2007年 / 4845卷

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 reallife 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.

引用

页码：443 / +

页数：3

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