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Biography
Chang-Hwan Lee

Dr. Chang-Hwan Lee

Dongguk University, South Korea


Email: chlee@dgu.ac.kr


Qualifications

Ph.D., University of Connecticut, USA

M.S., Seoul National University, South Korea

B.A., Seoul National University, South Korea


Publications (Selected)

  1. Chang-Hwan Lee, Fernando Gutierrez, Dejing Dou "Value Weighted Naive Bayesian Learning" submitted to ICDM 2010.
  2. Chang-Hwan Lee, "Gradient Descent Approach for Value-Based Weighting" Journal of Korean Information Processing Society, 2010.
  3. Chang-Hwan Lee, In-Chul Chung, and Young-Sik Kwon, "Committee Learning Classifier based Attribute Value Frequency" Journal of Korean Information Science Society, 2010.
  4. Chang-Hwan Lee, Jungjin Yang, "A New Co-Training Method for Data Mining" in Data Mining and Management, (Book Chapter), Editors: Lawrence I. Spendler, Nova Science Publishers, 2010.
  5. JongSik Yoon, Young S. Kwon and Chang-Hwan Lee, "Bankrupcy Prediction for Smale Businesses Using Credit Card Sales Information: Performance Comparison of Classification Algorithms" The 9th Asia Pacific Industrial Engineering & Management Systems Conference, Nusa Dua, Bali-Indonesia, December 3-5, 2008.
  6. Chang-Hwan Lee "IMSP: An Information Theoretic Approach for Multi-dimensional Sequential Pattern Mining" Volume 26, No. 3, pp. 231-242, Applied Intelligence, 2007.6.
  7. Chang-Hwan Lee "A Hellinger-Based Discretization Method for Numeric Attributes in Classification Learning" Knowledge-Based Systems, Vol. 20, No. 4, pp. 419-425, 2007.5.
  8. Chang-Hwan Lee "Improving Classification Performance Using Unlabeled Data: Naive Bayesian Case", Knowledge-Based Systems, Vol. 20, No. 3, pp. 220-224, 2007.4.
  9. Chang-Hwan Lee, "A Semi-Naive Bayesian Learning Method for Utilizing Unlabeled Data" International Conference on Knowledge-Based & Intelligent Information & Engineering Systems(KES), 2006.10.
  10. Chang-Hwan Lee, "A Naïve Bayesian Approach for Utilizing Unlabeled data in Classification Learning", Journal of Korean Information Processing, Vol. 13-B, No. 4, 2006.8.
  11. Chang-Hwan Lee and Kwang-Ho Lee, "Fast Learning Algorithm for Rare Class Values" 2006 Conference of Korean Information Processing, 2006.11.
  12. Chang-Hwan Lee, "Inducing Sequential Patterns from Multidimensional Time Series Data", Australian AI Conference-2005, 2005.12.
  13. Jang-Hwan Jeon, Kang-Il Lee, Chang-Hwan Lee, Kang-Woo Lee, "Classification of English Letters Using Neural Networks" Korean Information Science Society Conference, 2005.11.
  14. Chang-Hwan Lee, "Discretizing Continuous Attributes Using Information Theory", International Symposium on Computer and Information Sciences(ISCIS), 2005.10.
  15. Chang-Hwan Lee, "An Entropy-based Approach for Generating Multi-dimensional Sequential Patterns" European Conference on Principles and Practice of Knowledge Discovery in Databases(PKDD), 2005.10.
  16. Chang-Hwan Lee "Calculating Attribute Weights Using Information Theory" Journal of Korean Information Science Society, 2005.9.
  17. Kang-Il Lee, Chang-Hwan Lee "Classifying Documents Using Keywords and Unlabeled Documents" Korean Information Science Society Conference, 2005.7.
  18. Kang-Il Lee and Chang-Hwan Lee, "A New Method for Calculating Attribute Weights of kNN Algorithms" 2005 Conference of Korean Information Processing, 2005.5.
  19. Chang-Hwan Lee, "An Efficient Mining Algorithm for Probabilistic Multidimensional Sequential Patterns" Journal of Korean Information Science Society, 2005.2.
  20. Chang-Hwan Lee and So-Min Lee, "Improving Co-Training without Attribute Split" Journal of Korean Information Science Society, 2004.10.
  21. Chang-Hwan Lee, "Generating Multi-dimensional Sequential Patterns Using Hellinger Measure" Journal of Korean Information Processing Society, 2004.8.
  22. Chang-Hwan Lee, "A Hybrid Method for Generating Inductive Rules" Journal of Korean Information Processing Society, 2003.2.
  23. Chang-Hwan Lee, "semi-supervised learning" Korean Data Mining Society Conference, (invited talk), 2002.5.
  24. Chang-Hwan Lee, "A New Method for Multi-dimensional Sequential Pattern Mining" Korean Data Mining Society Conference, 2002.5.
  25. Chang-Hwan Lee, "Learning Inductive Rules Using Hellinger Measure" Applied Artificial Intelligence, Vol. 13, No. 8, 1999.
  26. Chang-Hwan Lee and Dong-Guk Shin, "Using Hellinger Distance in a Nearest Neighbour Classifier for Relational Databases", Knowledge-Based Systems, Vol. 12, No. 7, 1999.
  27. Chang-Hwan Lee and Dong-Guk Shin, "A Multistrategy Approach to Classification Learning  in Databases" Data and Knowledge Engineering, Vol. 31, No. 1, pp. 67-93, 1999.
  28. Chang-Hwan Lee, "Nonmonotonic Inheritence Reasoning System Using Probabilistic Default Rules" Journal of Korea Information Processing Society, Vol. 6, No. 2, 1999.


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