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pro vyhledávání: '"Chen, Chien Ming"'
The goal of high-utility sequential pattern mining (HUSPM) is to efficiently discover profitable or useful sequential patterns in a large number of sequences. However, simply being aware of utility-eligible patterns is insufficient for making predict
Externí odkaz:
http://arxiv.org/abs/2210.15637
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
Externí odkaz:
http://arxiv.org/abs/2206.04269
Autor:
Lv, Jianhui, Kim, Byung-Gyu, Slowik, Adam, Parameshachari, B.D., Kumari, Saru, Chen, Chien-Ming, Li, Keqin
Publikováno v:
In Swarm and Evolutionary Computation December 2024 91
Publikováno v:
In Internet of Things December 2024 28
Publikováno v:
In European Journal of Radiology December 2024 181
Publikováno v:
In Materials Science in Semiconductor Processing December 2024 184
Autor:
Chen, Dao-Long, Chen, Chien-Ming, Tsai, Chin-I., Chen, Ryan, Shih, Hsin-Chih, Hu, Ian, Jian, Sheng-Rui
Publikováno v:
In Extreme Mechanics Letters November 2024 72
Autor:
Gan, Wensheng, Chen, Guoting, Yin, Hongzhi, Fournier-Viger, Philippe, Chen, Chien-Ming, Yu, Philip S.
Economic-wise, a common goal for companies conducting marketing is to maximize the return revenue/profit by utilizing the various effective marketing strategies. Consumer behavior is crucially important in economy and targeted marketing, in which beh
Externí odkaz:
http://arxiv.org/abs/2202.13041
Analyzing sequence data usually leads to the discovery of interesting patterns and then anomaly detection. In recent years, numerous frameworks and methods have been proposed to discover interesting patterns in sequence data as well as detect anomalo
Externí odkaz:
http://arxiv.org/abs/2111.15026
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. Unlike high-utility pattern mining (HUPM),
Externí odkaz:
http://arxiv.org/abs/2111.12218