@inproceedings{c41acba83db94cf0b96fe6c8d1406a3b,
title = "Synthesization of High-Utility Patterns in Parallel Computing",
abstract = "High utility pattern mining (HUPM) has become a key issue in knowledge discovery since it provides retailers and managers with useful information for making decisions efficiently. However, previous studies most focused on mining the high-utility patterns (HUPs) from a single database. In this paper, we present a framework to incorporate the weighted model for parallel synthesis of the discovered HUPs from various databases. The pre-large concept was also used as a buffer here in order to provide more prospective HUPs, thus providing higher accuracy of the synthesized patterns. From our experiments, the developed model exceeds existing works, in particular the designed model has increased precision and recall on knowledge synthesization compared to the previous works.",
keywords = "parallel computing, pre-large concept, synthesization, utility patterns",
author = "Lin, \{Jerry Chun Wei\} and Yuanfa Li and Matin Pirouz and Linlin Tang and Miroslav Voznak and Lukas Sevcik",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019 ; Conference date: 08-10-2019 Through 09-10-2019",
year = "2019",
month = oct,
doi = "10.1109/DS-RT47707.2019.8958680",
language = "英语",
series = "Proceedings - 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "\{De Rango\}, Floriano and Calafate, \{Carlos Tavares\} and Miroslav Voznak and Alfredo Garro and Mauro Tropea",
booktitle = "Proceedings - 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019",
address = "美国",
}