Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
552380 | Decision Support Systems | 2008 | 15 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Stephen Russell, Aryya Gangopadhyay, Victoria Yoon,