Dae-Ki Kang
Dae-Ki Kang
Dongseo university
Bestätigte E-Mail-Adresse bei dongseo.ac.kr
Titel
Zitiert von
Zitiert von
Jahr
Ensemble with neural networks for bankruptcy prediction
MJ Kim, DK Kang
Expert systems with applications 37 (4), 3373-3379, 2010
2152010
Learning classifiers for misuse and anomaly detection using a bag of system calls representation
DK Kang, D Fuller, V Honavar
Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop …, 2005
1842005
Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction
MJ Kim, DK Kang, HB Kim
Expert Systems with Applications 42 (3), 1074-1082, 2015
1342015
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
MJ Kim, DK Kang
Expert Systems with applications 39 (10), 9308-9314, 2012
832012
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data
J Zhang, DK Kang, A Silvescu, V Honavar
Knowledge and information systems 9 (2), 157-179, 2006
722006
Learning classifiers for misuse detection using a bag of system calls representation
DK Kang, D Fuller, V Honavar
International Conference on Intelligence and Security Informatics, 511-516, 2005
472005
Biased dropout and crossmap dropout: learning towards effective dropout regularization in convolutional neural network
A Poernomo, DK Kang
Neural networks 104, 60-67, 2018
392018
Generation of attribute value taxonomies from data for data-driven construction of accurate and compact classifiers
DK Kang, A Silvescu, J Zhang, V Honavar
Fourth IEEE International Conference on Data Mining (ICDM'04), 130-137, 2004
29*2004
Multinomial event model based abstraction for sequence and text classification
DK Kang, J Zhang, A Silvescu, V Honavar
International Symposium on Abstraction, Reformulation, and Approximation …, 2005
232005
Learning decision trees with taxonomy of propositionalized attributes
DK Kang, K Sohn
Pattern Recognition 42 (1), 84-92, 2009
212009
Experimental analysis of naïve Bayes classifier based on an attribute weighting framework with smooth kernel density estimations
ZL Xiang, XR Yu, DK Kang
Applied Intelligence 44 (3), 611-620, 2016
202016
Analysis of human factors in software application design for effective user experience
S Abduljalil, DK Kang
13th International Conference on Advanced Communication Technology …, 2011
182011
Mini-batch bagging and attribute ranking for accurate user authentication in keystroke dynamics
J Ho, DK Kang
Pattern Recognition 70, 139-151, 2017
172017
TRIPPER: Rule learning using taxonomies
F Vasile, A Silvescu, DK Kang, V Honavar
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 55-59, 2006
142006
Performance analysis of intrusion detection systems for smartphone security enhancements
S Salah, SA Abdulhak, H Sug, DK Kang, HJ Lee
International Conference on Mobile IT Convergence, 15-19, 2011
112011
One-class naïve Bayes with duration feature ranking for accurate user authentication using keystroke dynamics
J Ho, DK Kang
Applied Intelligence 48 (6), 1547-1564, 2018
102018
Parameter Estimation Methods of Rainwater Harvesting System Reliability Model for Improving the Applicability to Korea: Application to Busan, Korea
M Keem, D Kang, M Park, S Kim
Journal of the Korean Society of Hazard Mitigation 14 (2), 345-354, 2014
102014
RNBL-MN: A recursive naive bayes learner for sequence classification
DK Kang, A Silvescu, V Honavar
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 45-54, 2006
102006
Novel naive Bayes based on attribute weighting in kernel density estimation
ZL Xiang, XR Yu, AWM Hui, DK Kang
2014 Joint 7th International Conference on Soft Computing and Intelligent …, 2014
92014
Regularization parameter tuning optimization approach in logistic regression
A El-Koka, KH Cha, DK Kang
2013 15th International Conference on Advanced Communications Technology …, 2013
92013
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20