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The Scientific World Journal
Volume 2014, Article ID 973750, 11 pages
http://dx.doi.org/10.1155/2014/973750
Research Article

Negative and Positive Association Rules Mining from Text Using Frequent and Infrequent Itemsets

1Department of Computer Science & Engineering, University of Engineering & Technology, Lahore, Pakistan
2Al-Khawarizmi Institute of Computer Sciences, UET, Lahore, Pakistan
3Ted Rogers School of Information Technology Management, Ryerson University, Toronto, Canada

Received 17 February 2014; Revised 27 March 2014; Accepted 1 April 2014; Published 18 May 2014

Academic Editor: Daniel D. Sánchez

Copyright © 2014 Sajid Mahmood 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 [9 citations]

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

  • Sikha Bagui, and Probal Chandra Dhar, “Mining positive and negative association rules in Hadoop's MapReduce environment,” Proceedings of the ACMSE 2018 Conference on - ACMSE '18, pp. 1–1, . View at Publisher · View at Google Scholar
  • G. Suresh Reddy, T. V. Rajini Kanth, and A. Ananda Rao, “An Improved Similarity Measure for Text Clustering and Classification,” Advanced Science Letters, vol. 21, no. 11, pp. 3583–3590, 2015. View at Publisher · View at Google Scholar
  • Ananda Rao, Suresh Reddy, and Rajini Kanth, “An improved similarity measure for text clustering and classification,” Advanced Science Letters, vol. 21, no. 11, pp. 3583–3590, 2015. View at Publisher · View at Google Scholar
  • Wasif Altaf, Muhammad Shahbaz, and Aziz Guergachi, “Applications of association rule mining in health informatics: a survey,” Artificial Intelligence Review, 2016. View at Publisher · View at Google Scholar
  • G. Suresh Reddy, “Dimensionality reduction approach for high dimensional text documents,” Proceedings - 2016 International Conference on Engineering and MIS, ICEMIS 2016, 2016. View at Publisher · View at Google Scholar
  • Changyan Liu, Youxin Su, Jian He, Yanan Li, Shaoqing Chen, Yingjie Zhang, Ziyi Zhang, Meili Lu, Zhen He, Wenting Wang, Yiru Wang, Lu Sheng, Zhengxuan Zhan, Xu Wang, and Naixi Zheng, “Using Datamining Approaches To Selectacupoints In Acupuncture And Moxibustion For Knee Osteoarthritis,” African Journal Of Traditional Complementary And Alternative Medicines, vol. 13, no. 2, pp. 120–132, 2016. View at Publisher · View at Google Scholar
  • Chou-Cheng Chen, and Chung-Liang Ho, “StemTextSearch: Stem cell gene database with evidence from abstracts,” Journal of Biomedical Informatics, vol. 69, pp. 150–159, 2017. View at Publisher · View at Google Scholar
  • Ramzi A. Haraty, and Rouba Nasrallah, “Indexing Arabic texts using association rule data mining,” Library Hi Tech, 2018. View at Publisher · View at Google Scholar
  • Wei Chen, Jun Yang, Hui-Ling Wang, Ya-Fei Shi, Hao Tang, and Guo-Hui Li, “Discovering Associations of Adverse Events with Pharmacotherapy in Patients with Non-Small Cell Lung Cancer Using Modified Apriori Algorithm,” BioMed Research International, vol. 2018, pp. 1–10, 2018. View at Publisher · View at Google Scholar