no code implementations • 18 Aug 2020 • Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding
To find patterns that can represent the supporting transaction, a recent study was conducted to mine high utility-occupancy patterns whose contribution to the utility of the entire transaction is greater than a certain value.
Databases
no code implementations • 31 Dec 2020 • Jiahui Chen, Wensheng Gan, Muchuang Hu, Chien-Ming Chen
In addition, traditional proof of work (PoW)-based consensus protocols such as Bitcoin cannot supply memory mining, and the transaction capacity of each block in a blockchain is limited and needs to be expanded.
Cryptography and Security
no code implementations • 24 Nov 2021 • Chien-Ming Chen, Lili Chen, Wensheng Gan
Based on the analysis of the proportion of utility in the supporting transactions used in the field of data mining, high utility-occupancy pattern mining (HUOPM) has recently attracted widespread attention.
no code implementations • 29 Nov 2021 • Wensheng Gan, Lili Chen, Shicheng Wan, Jiahui Chen, Chien-Ming Chen
Analyzing sequence data usually leads to the discovery of interesting patterns and then anomaly detection.
no code implementations • 26 Feb 2022 • Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu
To fulfill this gap, in this paper, we first propose a general profit-oriented framework to address the problem of revenue maximization based on economic behavior, and compute the 0n-shelf Popular and most Profitable Products (OPPPs) for the targeted marketing.
no code implementations • 9 Jun 2022 • Qi Lin, Wensheng Gan, Yongdong Wu, Jiahui Chen, Chien-Ming Chen
Big data technologies such as design making, event detection, and classification are developed to help manufacturing organizations to achieve smart systems.
no code implementations • 27 Oct 2022 • Lili Chen, Wensheng Gan, Chien-Ming Chen
To compensate for this deficiency, high-utility sequential rule mining (HUSRM) is designed to explore the confidence or probability of predicting the occurrence of consequence sequential patterns based on the appearance of premise sequential patterns.