Chang-Hwan Lee - researchr alias

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Viewing Publication 1 - 25 from 25

2023

The Effect of Defection in Maximizing Group BenefitChanseung Lee, Chang-Hwan Lee. aai, 37(1), December 2023. [doi]

2018

Retailer-run resale market and optimal returns and resale policyChang-Hwan Lee, Byong-Duk Rhee. eor, 268(2):504-514, 2018. [doi]

An information-theoretic filter approach for value weighted classification learning in naive BayesChang-Hwan Lee. DKE, 113:116-128, 2018. [doi]

2016

Assigning Different Weights to Feature Values in Naive BayesChang-Hwan Lee. scds 2016: 171-179 [doi]

Calculating different weights in feature values in logistic regressionChang-Hwan Lee. iccip 2016: 148-150 [doi]

2015

A multi-phase approach for classifying multi-dimensional sequence dataChang-Hwan Lee. ida, 19(3):547-561, 2015. [doi]

A gradient approach for value weighted classification learning in naive BayesChang-Hwan Lee. kbs, 85:71-79, 2015. [doi]

Improving Document Classification Using Fine-Grained WeightsSoo-Hwan Song, Chang-Hwan Lee. ieaaie 2015: 488-492 [doi]

2014

A Hellinger-Based Importance Measure of Association Rules for Classification LearningChang-Hwan Lee. ijis, 29(9):807-822, 2014. [doi]

An Information-Theoretic filter Method for Feature Weighting in Naive BayesChang-Hwan Lee. ijprai, 28(5), 2014. [doi]

A New Fine-Grained Weighting Method in Multi-Label Text ClassificationChang-Hwan Lee. maics 2014: 26-30 [doi]

2013

QoS-aware hierarchical token bucket (QHTB) queuing disciplines for QoS-guaranteed Diffserv provisioning with optimized bandwidth utilization and priority-based preemptionChang-Hwan Lee, Young-Tak Kim. icoin 2013: 351-358 [doi]

Quality uncertainty and quality-compensation contract for supply chain coordinationChang-Hwan Lee, Byong-Duk Rhee, T. C. E. Cheng. eor, 228(3):582-591, 2013. [doi]

2012

Performance analysis of multi-layered protection switching with control-forwarding separationKwangtae Jeong, Chang-Hwan Lee, Young-Tak Kim. apnoms 2012: 1-4 [doi]

2011

Trade credit for supply chain coordinationChang-Hwan Lee, Byong-Duk Rhee. eor, 214(1):136-146, 2011. [doi]

Combining Different Classifiers with Identical Features in Co-Training MethodChang-Hwan Lee. mldm 2011: 49-58

Calculating Feature Weights in Naive Bayes with Kullback-Leibler MeasureChang-Hwan Lee, Fernando Gutierrez, Dejing Dou. icdm 2011: 1146-1151 [doi]

2007

IMSP: An information theoretic approach for multi-dimensional sequential pattern miningChang-Hwan Lee. apin, 26(3):231-242, 2007. [doi]

Improving classification performance using unlabeled data: Naive Bayesian caseChang-Hwan Lee. kbs, 20(3):220-224, 2007. [doi]

A Hellinger-based discretization method for numeric attributes in classification learningChang-Hwan Lee. kbs, 20(4):419-425, 2007. [doi]

Channel coordination using product returns for a supply chain with stochastic salvage capacityChang-Hwan Lee, Byong-Duk Rhee. eor, 177(1):214-238, 2007. [doi]

2006

A Semi-naive Bayesian Learning Method for Utilizing Unlabeled DataChang-Hwan Lee. kes 2006: 187-194 [doi]

2005

Discretizing Continuous Attributes Using Information TheoryChang-Hwan Lee. iscis 2005: 493-502 [doi]

Inducing Sequential Patterns from Multidimensional Time Series DataChang-Hwan Lee. ausai 2005: 900-903 [doi]

An Entropy-Based Approach for Generating Multi-dimensional Sequential PatternsChang-Hwan Lee. pkdd 2005: 585-592 [doi]

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