Business Intelligence for Enterprise Systems: A Survey

被引：186

作者：

Duan, Lian ^{[1
]}

Xu, Li Da ^{[2
,3
]}

机构：

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

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

[3] Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2012年 / 8卷 / 03期

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

Business intelligence (BI); industrial informatics; enterprise systems; data mining; NEURAL-NETWORKS; GENERATION; EFFICIENCY; ALGORITHM; QUERY;

D O I：

10.1109/TII.2012.2188804

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Business intelligence (BI) is the process of transforming raw data into useful information for more effective strategic, operational insights, and decision-making purposes so that it yields real business benefits. This new emerging technique can not only improve applications in enterprise systems and industrial informatics, respectively, but also play a very important role to bridge the connection between enterprise systems and industrial informatics. This paper was intended as a short introduction to BI with the emphasis on the fundamental algorithms and recent progress. In addition, we point out the challenges and opportunities to smoothly connect industrial informatics to enterprise systems for BI research.

引用

页码：679 / 687

页数：9

共 99 条

[1]

Aalst W.M. P., 2011, PROCESS MINING DISCO

[2] Achieving Memetic Adaptability by Means of Agent-Based Machine Learning [J].

Acampora, Giovanni ;

Manuel Cadenas, Jose ;

Loia, Vincenzo ;

Munoz Ballester, Enrique .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2011, 7 (04) :557-569

[3] Application of neural networks in optical inspection and classification of solder joints in surface mount technology [J].

Acciani, Giuseppe ;

Brunetti, Gioacchino ;

Fornarelli, Girolamo .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2006, 2 (03) :200-209

[4]

Agrawal R., 1993, SIGMOD Record, V22, P207, DOI 10.1145/170036.170072

[5] A literature review on business process modelling: new frontiers of reusability [J].

Aldin, Laden ;

de Cesare, Sergio .

ENTERPRISE INFORMATION SYSTEMS, 2011, 5 (03) :359-383

[6] A novel approach toward integration of rules into business processes using an agent-oriented framework [J].

Ali, Saqib ;

Soh, Ben ;

Torabi, Torab .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2006, 2 (03) :145-154

[7]

Ankerst M., 1999, SIGMOD Record, V28, P49, DOI 10.1145/304181.304187

[8]

[Anonymous], 1993, C4 5 PROGRAMS MACH L

[9] A Bayesian neural network method for adverse drug reaction signal generation [J].

Bate, A ;

Lindquist, M ;

Edwards, IR ;

Olsson, S ;

Orre, R ;

Lansner, A ;

De Freitas, RM .

EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY, 1998, 54 (04) :315-321

[10] SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivation [J].

Blewitt, Marnie E. ;

Gendrel, Anne-Valerie ;

Pang, Zhenyi ;

Sparrow, Duncan B. ;

Whitelaw, Nadia ;

Craig, Jeffrey M. ;

Apedaile, Anwyn ;

Hilton, Douglas J. ;

Dunwoodie, Sally L. ;

Brockdorff, Neil ;

Kay, Graham F. ;

Whitelaw, Emma .

NATURE GENETICS, 2008, 40 (05) :663-669

← 1 2 3 4 5 6 7 8 9 10 →