| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 03058 | |
| Number of page(s) | 5 | |
| Section | Digital Signal and Image Processing | |
| DOI | https://doi.org/10.1051/matecconf/201817303058 | |
| Published online | 19 June 2018 | |
Detecting Concept Drift in Resource-Service Sequence for Collaborative Task
1
College of Computer Science and Technology, Huaqiao University, Xiamen, China
2
College of Computer Science and Technology, Huaqiao University, Xiamen, China
3
College of Computer Science and Technology, Huaqiao University, Xiamen, China
* Corresponding author: lihaibo@hqu.edu.cn
To discover the bottleneck of business caused by the changing of market, especially in collaborative tasks, an approach is proposed to detect concept drift in the usage of resource services in business processes. Firstly, influence degree, described as features, is measured in a Resource-Service Sequence (RSS). Secondly, by mining business dataset, the influence relationship between resource services is resolved according to different time window. Then, the influence degrees are clustered as different clusters, called concept drift. Finally, RSSs with concept drift are derived from the feature sequence. The simulation results show the validity of the proposed approach.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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