Digital Library

1. 1. Visualization of Malwares for Classification Through Deep Learning
   Hyeonggyeom Kim, Seokmin Han, Suchul Lee, Jun-Rak Lee, Vol. 19, No. 5, pp. 67-75, Oct. 2018
   10.7472/jksii.2018.19.5.67
   Keywords: Malware visualization, mawlare detection and classification, Deep Learning, CNN
2. 2. An Improved Image Classification Using Batch Normalization and CNN
   Myunggeun Ji, Junchul Chun, Namgi Kim, Vol. 19, No. 3, pp. 35-42, Jun. 2018
   10.7472/jksii.2018.19.3.35
   Keywords: Batch Normalization, Convolutional Neural Network, Image Classification, Deep Learning
3. 3. Development of IoT Service Classification Method based on Service Operation Characteristic
   Jeong hoon Jo, HwaMin Lee, Dae won Lee, Vol. 19, No. 2, pp. 17-26, Apr. 2018
   10.7472/jksii.2018.19.2.17
   Keywords: Internet of thing(IoT), IoT service classification, clustering, K-means algorithm
4. 4. A Classification Model for Attack Mail Detection based on the Authorship Analysis
   Sung-Sam Hong, Gun-Yoon Shin, Myung-Mook Han, Vol. 18, No. 6, pp. 35-46, Dec. 2017
   10.7472/jksii.2017.18.6.35
   Keywords: Text Mining, Machine Learning, Classification, Authorship Analysis, Attacker Identification
5. 5. Instagram image classification with Deep Learning
   Nokwon Jeong, Soosun Cho, Vol. 18, No. 5, pp. 61-67, Oct. 2017
   10.7472/jksii.2017.18.5.61
   Keywords: Image Classification, Convolutional Neural Network, Instagram Images
6. 6. Status and Future of Security Techniques in the Internet Banking Service
   Lee, Kyungroul;Yim, Kangbin;Seo, Jungtaek;, Vol. 18, No. 2, pp. 31-42, Apr. 2017
   10.7472/jksii.2017.18.2.31
   Keywords: Internet Banking Service, Security Techniques, Technical classification, Financial institution area, Network communication area
7. 7. A Task Offloading Approach using Classification and Particle Swarm Optimization
   John Cristopher A. Mateo, Jaewan Lee, Vol. 18, No. 1, pp. 1-10, Feb. 2017
   10.7472/jksii.2017.18.1.01
   Keywords: Cloudlet, Classification, Particle Swarm Optimization, Mobile Cloud Computing
8. 8. A Detection Model using Labeling based on Inference and Unsupervised Learning Method
   Sung-Sam Hong, Dong-Wook Kim, Byungik Kim, Myung-Mook Han, Vol. 18, No. 1, pp. 65-76, Feb. 2017
   10.7472/jksii.2017.18.1.65
   Keywords: Labeling, Detection Model based on classification, Data Mining, Inference, Supervised/Unsupervised Learning, Security
9. 9. IPC Multi-label Classification based on Functional Characteristics of Fields in Patent Documents
   Sora Lim, YongJin Kwon, Vol. 18, No. 1, pp. 77-88, Feb. 2017
   10.7472/jksii.2017.18.1.77
   Keywords: Patent classification, IPC Classification, Patent Document Fields, Field function, Multi-label classification
10. 10. Bio-mimetic Recognition of Action Sequence using Unsupervised Learning
    Jin Ok Kim, Vol. 15, No. 4, pp. 9-20, Aug. 2014
    10.7472/jksii.2014.15.4.09
    Keywords: Action sequence detection, Categorical action classification, Bio-inspired Action perception, Unsupervised learning