Mining High Utility Partial Periodic Pattern by GPA

被引：0

作者：

Hong, Tzung-Pei ^{[1
]}

Hsu, Jen-Hao ^{[2
]}

Yang, Kung-Jiuan ^{[3
]}

Lan, Guo-Cheng ^{[4
]}

Lin, Jerry Chun-Wei ^{[5
]}

Wang, Shyue-Liang ^{[6
]}

机构：

[1] Natl Univ Kaohsiung, Dept Comp Sci & Informat Engn, Kaohsiung, Taiwan

[2] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung, Taiwan

[3] Natl Cheng Kung Univ, Dept Mfg Informat & Syst, Tainan, Taiwan

[4] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan, Taiwan

[5] Harbin Inst Technol, Shenzhen Grad Sch, Sch Comp Sci & Technol, Shenzhen, Peoples R China

[6] Natl Univ Kaohsiung, Dept Informat Management, Kaohsiung, Taiwan

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2017年

关键词：

data mining; gradually pruning; utility; partial periodic pattern;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Different from full periodic patterns, partial periodic patterns could ignore the occurrence of some events in time positions. In this paper, we have presented a gradually pruning algorithm (GPA) for reducing the number of candidate patterns in the mining process. It is based on the two-phased periodic utility upper-bound (PUUB) model and could avoid information loss. Compared to the original approach without gradually pruning, the one proposed here could reduce the execution time but get the same desired results.

引用

页码：820 / 824

页数：5

共 50 条

[31] Mining high utility pattern with negative items in dynamic databases
Han, Meng
Zhang, Ni
Wang, Le
Li, Xiaojuan
Cheng, Haodong
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 37 (08) : 5325 - 5353
[32] Efficient mining of high utility pattern with considering of rarity and length
Kim, Donggyu
Yun, Unil
APPLIED INTELLIGENCE, 2016, 45 (01) : 152 - 173
[33] UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data
Chen, Chien-Ming
Chen, Lili
Gan, Wensheng
Qiu, Lina
Ding, Weiping
2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2020, : 3066 - 3071
[34] High-utility sequential pattern mining in incremental database
Yan, Huizhen
Li, Fengyang
Hsieh, Ming-Chia
Wu, Jimmy Ming-Tai
JOURNAL OF SUPERCOMPUTING, 2025, 81 (01):
[35] Improved Strategy for High-Utility Pattern Mining Algorithm
Wang, Le
Wang, Shui
Li, Haiyan
Zhou, Chunliang
MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
[36] An efficient algorithm for mining periodic high-utility sequential patterns
Duy-Tai Dinh
Bac Le
Philippe Fournier-Viger
Van-Nam Huynh
Applied Intelligence, 2018, 48 : 4694 - 4714
[37] An efficient algorithm for mining periodic high-utility sequential patterns
Duy-Tai Dinh
Bac Le
Fournier-Viger, Philippe
Van-Nam Huynh
APPLIED INTELLIGENCE, 2018, 48 (12) : 4694 - 4714
[38] Productive-Associated Periodic High-Utility Itemsets Mining
Ismail, Walaa
Hassan, Mohammad Mehedi
Fortino, Giancarlo
PROCEEDINGS OF THE 2017 IEEE 14TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2017), 2017, : 637 - 642
[39] Utility Pattern Mining Algorithm Based on Improved Utility Pattern Tree
Xing, Shuning
Liu, Fangai
Wang, Jiwei
Pang, Lin
Xu, Zhenguo
2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2015, : 258 - 261
[40] Mining relevant partial periodic pattern of multi-source time series data
Xun, Yaling
Wang, Linqing
Yang, Haifeng
Cai, JiangHui
INFORMATION SCIENCES, 2022, 615 : 638 - 656

← 1 2 3 4 5 →