1 |
J. C. Lee. (2019). Deep Learning Model for Incomplete Data, Journal of the Korea Convergence Society, 10(2), 1-6. DOI : 10.15207/JKCS.2019.10.2.001
DOI
|
2 |
R. Kohavi & J. R. Quinlan. (2002). Data mining tasks and methods: Classification: Decision-tree discovery, Handbook of data mining and knowledge discovery, Oxford University Press, 267-276.
|
3 |
H. Lee, S. Chung & E. Choi. (2016). A Case Study on Machine Learning Applications and Perfor- mance Improvement in Learning Algorithm, Journal of Digital Convergence, 14(2), 245-258.
DOI
|
4 |
Y. Jeong. (2019). Machine Learning Based Domain Classification for Korean Dialog System, Journal of Convergence for Information Technology, 9(8), 1-8.
DOI
|
5 |
J. C. Lee, D. H. Seo, C. H. Song & W. D. Lee. (2007). FLDF based Decision Tree using Extended Data Expression, The 6th Conference on Machine Learning & Cybernetics, 3478-3483.
|
6 |
J. C. Lee & W. D. Lee. (2010). Classifier handling incomplete data. Journal of the Korea Institute of Information and Communication Engineering, 14(1), 53-62.
DOI
|
7 |
D. Kim, D. Lee & W. D. Lee. (2006). Classifier using Extended Data Expression, IEEE Mountain Workshop on Adaptive and Learning Systems. DOI : 10.1109/SMCALS.2006.250708
|
8 |
T. Delavallade & T. H. Dang. (2007). Using Entropy to Impute Missing Data in a Classification Task. IEEE International Fuzzy Systems Conference. DOI : 10.1109/FUZZY.2007.4295430
|
9 |
A. McCallum, D. Freitag & F. Pereira. (2000). Maximum Entropy Markov Models for Information Extraction and Segmentation. Proc. Of 17th International Conference on Machine Learning, 591-598.
|
10 |
J. C. Lee. (2018). Application Examples Applying Extended Data Expression Technique to Classification Problems, Journal of the Korea Convergence Society, 9(12), 9-15. DOI : 10.15207/JKCS.2018.9.12.009
DOI
|
11 |
E. Keogh, C. Blake & C. J. Merz. (1998). UCI Repository of Machine Learning Databases, UCI Machine Learning Repository. http://www.ics .uci.edu/-mlearn/MLRepository.html
|
12 |
J. Han, J. Pei & M. Kamber. (2011), Data Mining: Concepts and Techniques, Elsevier.
|
13 |
M. Kantardzic. (2002). Data Mining : Concepts, Models, Methods, and Algorithms, Wiley-IEEE Press.
|
14 |
T. Maszczyk & W. Duch. (2008). Comparison of Shannon, Renyi and Tsallis Entropy used in Decision Trees. Lecture Notes in Computer Science, 5097, 643-651.
|
15 |
M. Srednicki & Theoretical Physics Group.(1993) Entropy and Area. Physical Review letters. DOI : 10.1103/PhysRevLett.71.666
|
16 |
R.M.Gray.(2011).Entropy and Information Theory. Springer 2ED. DOI : 10.1007/978-1-4419-7970-4
|
17 |
J. R. Quinlan. (1993). C4.5 : Program for Machine Learning. San Mateo : Morgan Kaufmann
|
18 |
P. E. Utgoff. (1989). Incremental Induction of Decision Trees. Machine Learning, 4(2), 161-186.
DOI
|