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Assisting decision making in the event-driven enterprise using wavelets
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AI
DOI：10.1016/j.dss.2008.04.006.png)
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En 中文
This paper discusses issues related to data-driven decision support systems in event-driven enterprises and proposes Discrete Wavelet Transformation (DWT) as a method to improve these systems. DWT is proposed as a method of data reduction that reduces the effects of excessive data, enabling better visualization and scalability, while preserving patterns, trends, and surprises in the data. A procedural model for using a data-driven decision support system that integrates DWT is presented. Finally, the procedural model is evaluated in experiments based on real event-driven data from a large telecommunications company. (c) 2008 Elsevier B.V. All rights reserved.
Keyword:
Decision analysis
Decision support systems
Visualization
Wavelets
期刊
IF:
6.8
论文数:
3.8K
被引数:
1.5W
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