DocumentCode :
279178
Title :
An analogy and framework for effective data collection, usage, and maintenance for decision support systems
Author :
Arinze, Bay
Author_Institution :
Dept. of Manage., Drexel Univ., Philadelphia, PA, USA
Volume :
iii
fYear :
1991
fDate :
8-11 Jan 1991
Firstpage :
64
Abstract :
The issue of data capture for DSS databases is an important one both for DSS developers and DSS users facing ill-structured problems in noisy and difficult environments. While the available database technologies (e.g. specialized hardware, DBMSs, and query languages) and other DSS-building tools are well advanced, methods for DSS data capture in less tractable environments are lacking. This often serves to limit the effectiveness of the above technologies in DSS development and use. The paper addresses the issue of data collection for DSS and presents a framework and an approach for detecting, preventing, and correcting errors in data collected. The framework employs analogies from the field of data communications to this end, and illustrates the approach using an example from the industrial marketing area
Keywords :
data acquisition; database management systems; decision support systems; error correction; error detection; knowledge acquisition; marketing data processing; DSS data capture; DSS databases; data capture; data collection; error correction; error detection; error prevention; ill-structured problems; industrial marketing; Data communication; Data mining; Databases; Decision support systems; Environmental management; Error correction; Hardware; Management information systems; User interfaces; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on
Conference_Location :
Kauai, HI
Type :
conf
DOI :
10.1109/HICSS.1991.184128
Filename :
184128
Link To Document :
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