Applied Mathematics

Vol.9 No.6(2018), Paper ID 85744, 11 pages

DOI:10.4236/am.2018.96049

 

Anomaly Detection of Store Cash Register Data Based on Improved LOF Algorithm

 

Ke Long, Yuhang Wu, Yufeng Gui

 

College of Science, Wuhan University of Technology, Wuhan, China
College of Science, Wuhan University of Technology, Wuhan, China
College of Science, Wuhan University of Technology, Wuhan, China

 

Copyright © 2018 Ke Long, Yuhang Wu, Yufeng Gui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Long, K. , Wu, Y. and Gui, Y. (2018) Anomaly Detection of Store Cash Register Data Based on Improved LOF Algorithm. Applied Mathematics, 9, 719-729. doi: 10.4236/am.2018.96049.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.