Chang-Hwan Lee

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 5

Top Topics

Naive Bayes Classifier

Text Classification

Top Venues

Intell. Data Anal.

Int. J. Pattern Recognit. Artif. Intell.

Int. J. Intell. Syst.

Publications

Chanseung Lee, Chang-Hwan Lee
The Effect of Defection in Maximizing Group Benefit. Appl. Artif. Intell. 37 (1) (2023)
Chang-Hwan Lee
An information-theoretic filter approach for value weighted classification learning in naive Bayes. Data Knowl. Eng. 113 (2018)
Chang-Hwan Lee
Multi-label classification of documents using fine-grained weights and modified co-training. Intell. Data Anal. 22 (1) (2018)
Chang-Hwan Lee
Assigning Different Weights to Feature Values in Naive Bayes. SCDS (2016)
Chang-Hwan Lee
Calculating different weights in feature values in logistic regression. ICCIP (2016)
Soohwan Song, Chang-Hwan Lee
Improving Document Classification Using Fine-Grained Weights. IEA/AIE (2015)
Chang-Hwan Lee
A multi-phase approach for classifying multi-dimensional sequence data. Intell. Data Anal. 19 (3) (2015)
Chang-Hwan Lee
A gradient approach for value weighted classification learning in naive Bayes. Knowl. Based Syst. 85 (2015)
Chang-Hwan Lee
A Hellinger-Based Importance Measure of Association Rules for Classification Learning. Int. J. Intell. Syst. 29 (9) (2014)
Chang-Hwan Lee
An Information-Theoretic filter Method for Feature Weighting in Naive Bayes. Int. J. Pattern Recognit. Artif. Intell. 28 (5) (2014)
Chang-Hwan Lee
A New Fine-Grained Weighting Method in Multi-Label Text Classification. MAICS (2014)
Chang-Hwan Lee, Young-Tak Kim
QoS-aware hierarchical token bucket (QHTB) queuing disciplines for QoS-guaranteed Diffserv provisioning with optimized bandwidth utilization and priority-based preemption. ICOIN (2013)
Kwangtae Jeong, Chang-Hwan Lee, Young-Tak Kim
Performance analysis of multi-layered protection switching with control-forwarding separation. APNOMS (2012)
Chang-Hwan Lee, Fernando Gutierrez, Dejing Dou
Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure. ICDM (2011)
Chang-Hwan Lee
Combining Different Classifiers with Identical Features in Co-Training Method. MLDM Posters (2011)
Chang-Hwan Lee
Improving classification performance using unlabeled data: Naive Bayesian case. Knowl. Based Syst. 20 (3) (2007)
Chang-Hwan Lee
IMSP: An information theoretic approach for multi-dimensional sequential pattern mining. Appl. Intell. 26 (3) (2007)
Chang-Hwan Lee
A Hellinger-based discretization method for numeric attributes in classification learning. Knowl. Based Syst. 20 (4) (2007)
Chang-Hwan Lee
A Semi-naive Bayesian Learning Method for Utilizing Unlabeled Data. KES (1) (2006)
Chang-Hwan Lee
An Entropy-Based Approach for Generating Multi-dimensional Sequential Patterns. PKDD (2005)
Chang-Hwan Lee
Discretizing Continuous Attributes Using Information Theory. ISCIS (2005)
Chang-Hwan Lee
Inducing Sequential Patterns from Multidimensional Time Series Data. Australian Conference on Artificial Intelligence (2005)