KIEE - The Transactions of the Korean Institute of Electrical Engineers

1

A. Krizhevsky, I. Sutskever, G. Hinton, 2012, ImageNet Classifi- f.i.cation with Deep Convolutional Neural Networks, Neural Information Processing Systems 25 (NIPS 2012)

2

A. Graves, A. Mohamed, G. Hinton, 2013, SPEECH RE- COGNITION WITH DEEP RECURRENT NEURAL NETWORKS, International Conference on Acoustics

3

A. Conneau, H. Schwenk, L. Barrault, Y. L. Cun, Very Deep Convolutional Networks for Text Classification, EACL 2017, arXiv:160601781

4

E. W. T. Nagi, P. T. Y. Lee, 2016, A REVIEW OF THE LITERATURE ON APPLICATIONS OF TEXT MINING IN POLICY MAKING, Pacofic Asia Conference on Information Systems(PACIS)

5

Yuyoung Kim, Min Song, 2016, A Study on Analyzing Sentiments on Movie Reviewsby Multi-Level Sentiment Classifie, Journal of Inteligent Information System, Vol. 22, No. 3, pp. 71-89

6

U. Godnov, T. Redek, 2016, Application of text mining in tourism: Case of Croatia, Annals of Tourism Research

7

A. K. Nassirtoussi, S. Aghabozorgi, T. Y. Wah, 2015, Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment, Expert Systems with Applications, Vol. 42, No. 1, pp. 306-324

8

C. Dobre, F. Xhafa, Intelligent services for Big Data science Future Generation Computer Systems, Vol. 37, pp. 267-281

9

Taesung Ahn, Hyeong Guk Seo, Kyung Il Lee, 2004, High-precision search system based on text mining, KIPS Review, Vol. 11, No. 2, pp. 88-97

10

R. Feldman, I. Dagan, 1995, Knowledge Discovery in Textual Databases(KDT), AAAI(Association for the Advancement of Artificial Intelligence), KDD-95, pp. 112-117

11

M. A. Berry, G. S. Linoff, 2000, Mastering Data Mining: The Art and Science of Customer Relationship Management, Industrial Management & Data Systems, Vol. 100, No. 5, pp. 245-246

12

L. Hirschman, G. A. P. C. Burns, M. Krallinger, 2012, Text mining for the biocuration workflow, Database

13

A. Nikfarjam, E. Emadzadeh, S. Muthaiyah, 2010, Text mining approaches for stock market prediction, in 2010 The 2nd International Conference on Computer and Automation Engineering(ICCAE)

14

N. Zhong, Y. Li, S. T. Wu, 2012, Effective Pattern Discovery for Text Mining, IEEE Transactions on Knowledge and Data Engineering, Vol. 24, No. 1, pp. 30-44

15

D. Bholat, S. Hansen, P. Santos, C. Schonhardt-Bailey, 2015, Text Mining for Central Banks, SSRN, CCBS Hand- book, No. 33

16

Dong Seon Uh, Kyung Ha Seok, 2015, Comparison of Learning Methods in Text Mining with Big Data, Graduate School

17

Mi Yeon Jeong, Dong Hyun Baek, 2019, Analysis of User Requirements Priority using Text Mining : in Online Game, Graduate School

18

Tae-Uk Yun, Hyunchul Ahn, 2018, Fake News Detection for Korean News Using Text Mining and Machine Learning Techniques, Journal of Information Technology Applications & Management(JITAM), Vol. 25, No. 1, pp. 19-32

19

Vandana Korde, C. Namrata Mahender, 2012, Text Classifi- cation and Classifiers: A Survey, International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 3, No. 2, pp. 85-99

20

Won Joon Yu, , Introduction to natural language processing using deep learning, Wikidocs, last modified: 2019. 12. 5. 13:06. https://wikidocs.net/book/ 2155

21

Hyoyoung Kim, Jin Wan Park, 2013, A Review on Expressive Materials and Approaches to Text Visualization, International JOURNAL OF CONTENTS, Vol. 13, No. 1, pp. 64-72

22

Yoseop Lim, Sungho Kang, 2007, Matching-based Advanced Integrated Diagnosis Method, The Journal of Korean Institute of Communications and Information Sciences, Vol. 32, No. 4, pp. 379-386

23

Jin-U Lee, Hwi-Su Jeon, Dae-Il Gwon, 2016, Research trend and analysis of domestic and foreign fault diagnosis field, The Korean Society of Mechanical Engineers, Vol. 56, No. 11, pp. 37-40

24

Youngwook Cho, Jang Myeong Lee, 2012, A Fault Diagnosis Algorithm for Auto Transmission Based on Intelligent Artificial, PusanNationalUniversity

25

B. Li, M. Y. Chow, Y. Tipsuwan, J. C. Hung, 2000, Neural- Network-Based Motor Rolling Bearing Fault Diagnosis, IEEE(Institute of Electrical and Electronics Engineers), Vol. 47, No. 5

26

Y. Zhang, X. Ding, Y. Liu, P. J. Griffin, 1996, An Artificial Neural Network Approach to Transformer Fault Diagnosis, IEEE (Institute of Electrical and Electronics Engineers), Vol. 11, No. 4, pp. 1836-1841

27

Géron Aurélien, 2018, Hands-On Machine Learning, Hanbit Media(Translated by Hae-Seon Park)

28

D. E. Rumelhart, G. E. Hinton, J. L. McClelland, 1986, A General Framework for Parallel Distributed Processing, Stanford University

29

Charu C. Aggarwal, 2019, Neural Networks and Deep Learning, Jpub (Translated by Kwang Ryu)

30

C. Olah, , Understanding LSTM Networks, colah’s blog, last modified: Aug 27, 2015, http://colah.github.io/posts/ 2015-08-Understanding-LSTMs/

31

M. Peng, C. Wang, T. Chen, G. Liu, X. Fu, 2017, Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition, Frontiers in Psychology

32

Alex Lee, , Python programming with examples, pythonstudy. xyz, http://pythonstudy.xyz/python/gui

33

R. Girshick, J. Donahue, T. Darrell, J. Malik, 2015, Region- based Convolutional Networks for Accurate Object Detection and Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 1, pp. 1-16

KIEEThe Transactions of
the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.

Journal Search

Journal XML

References

KIEEThe Transactions ofthe Korean Institute of Electrical Engineers