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Mathematical Problems in Engineering
Volume 2013, Article ID 580397, 14 pages
http://dx.doi.org/10.1155/2013/580397
Research Article

Incremental Optimization Mechanism for Constructing a Decision Tree in Data Stream Mining

Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Taipa, Macau

Received 21 September 2012; Revised 21 January 2013; Accepted 29 January 2013

Academic Editor: Sabrina Senatore

Copyright © 2013 Hang Yang and Simon Fong. 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 [5 citations]

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

  • Simon Fong, Yang Zhang, Jinan Fiaidhi, Osama Mohammed, and Sabah Mohammed, “Evaluation of Stream Mining Classifiers for Real-Time Clinical Decision Support System: A Case Study of Blood Glucose Prediction in Diabetes Therapy,” BioMed Research International, vol. 2013, pp. 1–16, 2013. View at Publisher · View at Google Scholar
  • Hang Yang, and Simon Fong, “Countering the Concept-drift Problems in Big Data by an Incrementally Optimized Stream Mining Model,” Journal of Systems and Software, 2014. View at Publisher · View at Google Scholar
  • Ayaz Isazadeh, Farnaz Mahan, and Witold Pedrycz, “MFlexDT: multi flexible fuzzy decision tree for data stream classification,” Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Wenping Li, Jing Yang, and Jianpei Zhang, “Sampling streaming data along geodesic,” Chinese Journal of Electronics, vol. 24, no. 2, pp. 251–257, 2015. View at Publisher · View at Google Scholar
  • Peng Li, Zhian He, Xiaobin Guo, Hang Yang, Simon Fong, and Huajun Chen, “A decision support system using combined-classifier for high-speed data stream in smart grid,” Enterprise Information Systems, vol. 10, no. 9, pp. 947–958, 2016. View at Publisher · View at Google Scholar