合肥工业大学

  李培培 在读博士（合肥工业大学）
  电子邮箱： peipeili_hfut@gmail.com
  主要研究方向：数据流分类、不完全标记数据分类、概念漂移检测方法
  代表性成果：
  [1] X.-D. Wu, P.-P. Li and X.-G. Hu. Learning from Concept Drifting Data Streams with Unlabel- ed Data (extended). Neuro-Computing, http://dx.doi.org/10.1016/j.neucom.2011.08.041,  2012.
  [2] P.-P. Li, X.-D. Wu and X.-G. Hu. Mining Recurring Concept Drifts with Limited Labeled Streaming Data (extended). ACM Transactions on Intelligent Systems and Technology, 3(2): 29, 2012.
  [3] Peipei Li, Xindong Wu, Xuegang Hu, Mining Recurring Concept Drifts with Limited Labeled Streaming Data, Journal of Machine Learning Research - Proceedings Track (JMLR), 2010, 13: 241-252.
  [4] Peipei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, and Yunjun Gao. A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Journal of Applied Artificial Intelligence, 2010, 24(7): 680-710.
  [5] Xuegang Hu, Peipei Li, Xindong Wu, and Gongqing Wu, A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams, Journal of Computer Science and Technology, 2007, 22(5): 711-724.