Smart System: Joint Utility and Frequency for Pattern Classification

Qi Lin, Wensheng Gan, Yongdong Wu, Jiahui Chen, Chien-Ming Chen
2022 ACM Transactions on Management Information Systems  
Nowadays, the environments of smart systems for Industry 4.0 and Internet of Things (IoT) are experiencing fast industrial upgrading. Big data technologies such as design making, event detection, and classification are developed to help manufacturing organizations to achieve smart systems. By applying data analysis, the potential values of rich data can be maximized and thus help manufacturing organizations to finish another round of upgrading. In this paper, we propose two new algorithms with
more » ... espect to big data analysis, namely UFC gen and UFC fast . Both algorithms are designed to collect three types of patterns to help people determine the market positions for different product combinations. We compare these algorithms on various types of datasets, both real and synthetic. The experimental results show that both algorithms can successfully achieve pattern classification by utilizing three different types of interesting patterns from all candidate patterns based on user-specified thresholds of utility and frequency. Furthermore, the list-based UFC fast algorithm outperforms the level-wise-based UFC gen algorithm in terms of both execution time and memory consumption.
doi:10.1145/3531480 fatcat:jj3l64um4zc7foxyky5mucroai