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Mathematical Problems in Engineering
Volume 2013, Article ID 461363, 13 pages
http://dx.doi.org/10.1155/2013/461363
Research Article

Parametric Rough Sets with Application to Granular Association Rule Mining

1Lab of Granular Computing, Minnan Normal University, Zhangzhou 363000, China
2School of Computer Science, Southwest Petroleum University, Chengdu 610500, China

Received 2 August 2013; Accepted 12 October 2013

Academic Editor: Gerhard-Wilhelm Weber

Copyright © 2013 Xu He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [15 citations]

The following is the list of published articles that have cited the current article.

  • Xu He, Fan Min, and William Zhu, “Comparison of Discretization Approaches for Granular Association Rule Mining,” Canadian Journal Of Electrical And Computer Engineering-Revue Canadienne De Genie Electrique Et Informatique, vol. 37, no. 3, pp. 157–167, 2014. View at Publisher · View at Google Scholar
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  • Heng-Ru Zhang, Fan Min, and Xu He, “Aggregated Recommendation through Random Forests,” The Scientific World Journal, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Xu He, Fan Min, William Zhu, Xu He, Fan Min, and William Zhu, “Top-N recommendation based on granular association rules,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8818, pp. 194–205, 2014. View at Publisher · View at Google Scholar
  • Ben-Wen Zhang, Fan Min, and Davide Ciucci, “Representative-based classification through covering-based neighborhood rough sets,” Applied Intelligence, 2015. View at Publisher · View at Google Scholar
  • Jian Li, and Xiao Pu, “A bayesian approach to mine accident causes association rules in petroleum drilling,” Journal of Information and Computational Science, vol. 12, no. 9, pp. 3475–3484, 2015. View at Publisher · View at Google Scholar
  • Heng-Ru Zhang, and Fan Min, “Three-way recommender systems based on random forests,” Knowledge-Based Systems, 2015. View at Publisher · View at Google Scholar
  • Seiji Kumagai, and Daisuke Tashima, “Electrochemical performance of activated carbons prepared from rice husk in different types of non-aqueous electrolytes,” Biomass & Bioenergy, vol. 83, pp. 216–223, 2015. View at Publisher · View at Google Scholar
  • Heng-Ru Zhang, Fan Min, Xu He, and Yuan-Yuan Xu, “A Hybrid Recommender System Based on User-Recommender Interaction,” Mathematical Problems in Engineering, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Yuan Tao, Dong Shen, Mengqi Fang, and Youqing Wang, “Reliable H-infinity control of discrete-time systems against random intermittent faults,” International Journal Of Systems Science, vol. 47, no. 10, pp. 2290–2301, 2016. View at Publisher · View at Google Scholar
  • Heng-Ru Zhang, Fan Min, and Bing Shi, “Regression-based three-way recommendation,” Information Sciences, 2016. View at Publisher · View at Google Scholar
  • Adhishree Srivastava, Jayant Mani Tripathi, Soumya R. Mohanty, and Bhagabat Panda, “Optimal Over-current Relay Coordination with Distributed Generation Using Hybrid Particle Swarm Optimization–Gravitational Search Algorithm,” Electric Power Components and Systems, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Kai Zeng, “Preference Mining Using Neighborhood Rough Set Model on Two Universes,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–13, 2016. View at Publisher · View at Google Scholar
  • Xiaohong Zhang, Maofu Liu, Shuping Wan, Zhenli Lu, Jianhua Dai, Huifeng Han, and Jun Liu, “Catoptrical rough set model on two universes using granule-based definition and its variable precision extensions,” Information Sciences, vol. 390, pp. 70–81, 2017. View at Publisher · View at Google Scholar