Business intelligence in enterprise computing environment

被引：53

作者：

Zeng, Li ^{[3
]}

Li, Ling ^{[2
]}

Duan, Lian ^{[1
,3
]}

机构：

[1] New Jersey Inst Technol, Newark, NJ 07102 USA

[2] Old Dominion Univ, Norfolk, VA 23529 USA

[3] Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China

来源：

INFORMATION TECHNOLOGY & MANAGEMENT | 2012年 / 13卷 / 04期

关键词：

Business intelligence; Intelligent computing; Data mining; DECISION-SUPPORT-SYSTEM; FUZZY COMPREHENSIVE EVALUATION; AIDS INITIAL ASSESSMENT; 2ND INFORMS WORKSHOP; FEATURE SPACE THEORY; NEURAL-NETWORKS; ARTIFICIAL-INTELLIGENCE; SPECIAL-ISSUE; KNOWLEDGE REPRESENTATION; URBAN-DEVELOPMENT;

D O I：

10.1007/s10799-012-0123-z

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Business intelligence (BI) is the process of gathering correct information in the correct format at the correct time; and delivering the results for decision-making purposes, or have a positive impact on business operations, tactics, and strategy in the enterprises. This paper is intended as a brief review of BI in an enterprise computing environment, with an emphasis on the algorithms and methods. The review points out the challenges to the broad and deep deployment of business intelligence systems, and provide proposals to make business intelligence more effective.

引用

页码：297 / 310

页数：14

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