A Clustering Approach for Outliers Detection in a Big Point-of-Sales Database

Author:

Yoseph Fahed,Heikkila Markku

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Point of Sale Fraud Detection Methods via Machine Learning;2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA);2023-09-20

2. Modeling Salesperson Performance Based On Sales Data Clustering;2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2022-12-08

3. DP-Denclue: An outlier detection algorithm with differential privacy preservation;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12

4. Preprocessing kNN algorithm classification using K-means and distance matrix with students’ academic performance dataset;Jurnal Teknologi dan Sistem Komputer;2020-10-21

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