Papers in 2010, SI, Proc., Talk, Activities

Papers
  1. Shichao Zhang. Shell-Neighbor Method And Its Application in Missing Data Imputation. Applied Intelligence, accepted in Nov 23, 2009: pp xx-xx.
  2. Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang. Mining Bridging Rules Between Conceptual Clusters. Applied Intelligence, accepted in July 7, 2010: pp xx-xx (DOI: 10.1007/s10489-010-0247-y).
  3. Xiaofeng Zhu, Shichao Zhang, Zhi Jin, Zili Zhang, Zhuoming Xu. Missing Value Estimation for Mixed-Attribute Datasets. IEEE Transactions on Knowledge and Data Engineering, accepted in Jan, 2010: pp xx-xx (http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.99).
  4. Shichao Zhang, Qingfeng Chen, Qiang Yang. Acquiring Knowledge from Inconsistent Data Sources Through Weighting. Data & Knowledge Engineering, 69 (2010): 779-799.
  5. Shichao Zhang. Cost-Sensitive Classification With Respect To Waiting Cost. Knowledge-Based Systems, 23 (2010): 369-378.
  6. Yongsong Qin, Shichao Zhang, Chengqi Zhang. Combining kNN Imputation and Bootstrap Calibrated Empirical Likelihood for Incomplete Data Analysis. International Journal of Data Warehousing and Mining (DWM), accepted in Mar 2010, pp xx-xx.
  7. Shichao Zhang. Estimating Semiparametric Missing Values with Iterative Imputation. International Journal of Data Warehousing and Mining (DWM), 6(3), 2010, pp 1-11.
  8. Tao Wang, Zhenxing Qin, Zhi Jin, Shichao Zhang. Handling Over-fitting in Test Cost-sensitive Decision Tree Learning by Feature Selection, Smoothing and Pruning. Journal of Systems and Software, 83 (2010): 1137-1147.
  9. Tao Wang, Zhenxing Qin, Shichao Zhang. Cost-sensitive Learning - A Survey. International Journal of Data Warehousing and Mining (IJDWM), accepted in Oct 2009, pp xx-xx.
  10. Shichao Zhang, Zhi Jin, Jingli Lu. Summary queries for frequent itemsets mining. Journal of Systems and Software, 83 (2010), pp. 405-411.
  11. Dingrong Yuan, Shichao Zhang. Web User Browse Behavior Characteristic Analysis Based on a BC Tree. 2010 International Conference on Active Media Technology, 2010.
  12. Shichao Zhang, Xindong Wu, Manlong Zhu. Learning from Incomplete Data Based on Group Difference Detection and Parimputation Approach. ICCI-2010, 2010.
  13. Shichao Zhang, Manlong Zhu, Xindong Wu. Studies on Weighting Method Based on Shell-Neighbor Imputation and Evaluation Method of Imputation Effect. ICCI-2010, data mining workshop, 2010.
  14. Shichao Zhang and Xindong Wu. Fundamental Role of Association Rules in Data Mining and Knowledge Discovery. WIREs DMKD, 2011, pp xx-xx. (Invited paper)
  15. Shichao Zhang. Information Enhancement for Data Mining. WIREs DMKD, 2011, pp xx-xx. (Invited paper)
Special Issue, Proceedings
  1. Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang (Eds): Editorial: Special issue on mining low-quality data. Knowledge and Information Systems, 11(2): 131-136 (2007).
  2. Shichao Zhang and Ray Jarvis (Eds.), AI 2005: Advances in Artificial Intelligence (18th Australian joint conference on Artificial Intelligence), Sydney, Australia, December, LNAI 3809, p. 1344, 2005.
  3. Shichao Zhang and Mohammed J. Zaki (Eds.), Mining Multiple Data Sources: Local Pattern Analysis. Special Issue of Data Mining and Knowledge Discovery, 12(2-3): 121-125 (2006).
  4. Xue Li, Shichao Zhang and Shuliang Wang (Eds.), Advances in Data Mining Applications. International Journal of Data Warehousing and Mining, IJDWM special issue, Vol 2(3), 2006.
  5. Shichao Zhang, Chengqi Zhang and Qiang Yang (Eds.), Information Enhancement. Special Issue of IEEE Intelligent Systems, Vol. 9 No. 2, 2004.
  6. Shichao Zhang, Chengqi Zhang and Qiang Yang (Eds.), Data Cleaning and Preprocessing. Special Issue of Applied Artificial Intelligence. Volume 17, 5-6(2003).
  7. Shichao Zhang, Qiang Yang and Chengqi Zhang (Eds.), Proceedings of the First International Workshop on Data Cleaning and Preprocessing (DCAP 2002). University of Technology Sydney and Hong Kong University of Science and Technology, Maebashi City, Japan, December 2002.
  8. Shichao Zhang (Ed.), PAKDD School 2004 Lecture Notes (PAKDD SLN)
Talk
  1. Shichao Zhang and Xindong Wu. Fundamental Role of Association Rules in Data Mining and Knowledge Discovery. WIREs Data Mining & Knowledge Discovery, 2010, pp xx-xx. (Invited paper)
  2. Shichao Zhang, Information Enhancement for Data Mining. WIREs Data Mining & Knowledge Discovery, 2010, pp xx-xx. (Invited paper)
  3. Shichao Zhang. Cost-sensitive Classification with Deficient Labeled Data. The International Conference on Machine Learning and Data Mining, 16 - 19 June, 2008. (Invited talk)
Professional Activities