Efficiently mining of skyline frequent-utility patterns-Reference-Cited by-同舟云学术

Efficiently mining of skyline frequent-utility patterns

Published:2017-11-15 Issue:6 Volume:21 Page:1407-1423
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Pan Jeng-Shyang¹,Lin Jerry Chun-Wei²,Yang Lu²,Fournier-Viger Philippe³,Hong Tzung-Pei⁴⁵

Affiliation:

1. Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China

2. School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China

3. School of Natural Sciences and Humanities, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China

4. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

5. Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference34 articles.

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4. Efficient tree structures for high utility pattern mining in incremental databases;Ahmed;IEEE Transactions on Knowledge and Data Engineering,2009

5. S. Borzsonyi, D. Kossmann and K. Stocker, The skyline operator, International Conference on Data Engineering (2001), pp. 421–430.

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