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)
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Chang-Hwan Lee,
Fernando Gutierrez, Dejing Dou "Value Weighted Naive Bayesian Learning" submitted to ICDM 2010.
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Chang-Hwan Lee, "Gradient Descent Approach for Value-Based Weighting" Journal of Korean
Information Processing Society, 2010.
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Chang-Hwan Lee,
In-Chul Chung, and Young-Sik Kwon, "Committee Learning Classifier based
Attribute Value Frequency" Journal of Korean Information Science Society, 2010.
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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.
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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.
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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.
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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.
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Chang-Hwan Lee
"Improving Classification Performance Using Unlabeled Data: Naive Bayesian
Case", Knowledge-Based Systems, Vol. 20, No. 3, pp. 220-224, 2007.4.
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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.
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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.
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Chang-Hwan Lee and
Kwang-Ho Lee, "Fast Learning Algorithm for Rare Class Values" 2006 Conference
of Korean Information Processing, 2006.11.
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Chang-Hwan Lee,
"Inducing Sequential Patterns from Multidimensional Time Series
Data", Australian AI Conference-2005, 2005.12.
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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.
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Chang-Hwan Lee,
"Discretizing Continuous Attributes Using Information Theory",
International Symposium on Computer and Information Sciences(ISCIS), 2005.10.
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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.
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Chang-Hwan Lee "Calculating Attribute Weights Using Information Theory" Journal of Korean
Information Science Society, 2005.9.
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Kang-Il Lee,
Chang-Hwan Lee "Classifying Documents Using Keywords and Unlabeled Documents" Korean Information Science Society Conference, 2005.7.
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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.
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Chang-Hwan Lee, "An
Efficient Mining Algorithm for Probabilistic Multidimensional Sequential
Patterns" Journal of Korean Information Science Society, 2005.2.
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Chang-Hwan Lee and
So-Min Lee, "Improving Co-Training without Attribute Split" Journal of Korean Information
Science Society, 2004.10.
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Chang-Hwan Lee, "Generating Multi-dimensional Sequential Patterns Using Hellinger Measure" Journal of Korean Information Processing Society, 2004.8.
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Chang-Hwan Lee, "A
Hybrid Method for Generating Inductive Rules" Journal of Korean Information
Processing Society, 2003.2.
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Chang-Hwan Lee, "semi-supervised learning" Korean Data Mining Society Conference, (invited
talk), 2002.5.
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Chang-Hwan Lee, "A
New Method for Multi-dimensional Sequential Pattern Mining" Korean Data Mining
Society Conference, 2002.5.
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Chang-Hwan Lee,
"Learning Inductive Rules Using Hellinger Measure" Applied Artificial
Intelligence, Vol. 13, No. 8, 1999.
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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.
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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.
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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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