JICS

1. Reinforced Generator GAN Model for Tabular Data Learning

Chan-sik Sung, Joon-sik Lim, Vol. 25, No. 5, pp. 121-130, Oct. 2024

10.7472/jksii.2024.25.5.121
Keywords: Reinforced Generator, Gower coefficients, mutual information, Clustering sampling, Tabular Data Learning

2. Deep Prediction of Stock Prices with K-Means Clustered Data Augmentation

Kyounghoon Han, Huigyu Yang, Hyunseung Choo, Vol. 24, No. 2, pp. 67-74, Apr. 2023

10.7472/jksii.2023.24.2.67
Keywords: Stock Price Prediction, clustering, data augmentation, Deep Learning, Artificial intelligence

3. Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms

Da-hyeon Kim, Jun-ho Ahn, Vol. 23, No. 6, pp. 71-78, Dec. 2022

10.7472/jksii.2022.23.6.71
Keywords: 3D LiDAR, clustering, Object Detection, Fusion camera, Hyper-parameter

4. COVID-19 Risk Analytics and Safe Activity Assistant Systemwith Machine Learning Algorithms

DoYeong Jeon, Myeong Ho Song, Soo Dong Kim, Vol. 22, No. 1, pp. 65-77, Feb. 2021

10.7472/jksii.2021.22.1.65
Keywords: COVID-19, Machine Learning, clustering, Risk Analytics, Safe Activity Assistance

5. Temporal Analysis of Opinion Manipulation Tactics in Online Communities

Sihyung Lee, Vol. 21, No. 3, pp. 29-39, Jun. 2020

10.7472/jksii.2020.21.3.29
Keywords: Opinion Manipulation, online communities, Temporal Analysis, clustering

6. The attacker group feature extraction framework : Authorship Clustering based on Genetic Algorithm for Malware Authorship Group Identification

Gun-Yoon Shin, Dong-Wook Kim, Myung-Mook Han, Vol. 21, No. 2, pp. 1-8, Apr. 2020

10.7472/jksii.2020.21.2.1
Keywords: Authorship Attribution, Attacker Group, genetic algorithm, Malware, Authorship Clustering

7. An Efficient BotNet Detection Scheme Exploiting Word2Vec and Accelerated Hierarchical Density-based Clustering

Taeil Lee, Kwanhyun Kim, Jihyun Lee, Suchul Lee, Vol. 20, No. 6, pp. 11-20, Dec. 2019

10.7472/jksii.2019.20.6.11
Keywords: Botnet Detection, Word2vec, clustering, Skip-gram

8. A Study on the Clustering method for Analysis of Zeus Botnet Attack Types in the Cloud Environment

Won-il Bae, Suk-June Choi, Seong-Jin Kim, Hyeong-Cheon Kim, Jin Kwak, Vol. 18, No. 1, pp. 11-20, Feb. 2017

10.7472/jksii.2017.18.1.11
Keywords: Cloud computing, K-Means Clustering, Zeus botnet, Openstack

9. A Dynamic Task Distribution approach using Clustering of Data Centers and Virtual Machine Migration in Mobile Cloud Computing

John Cristopher A. Mateo, Jaewan Lee, Vol. 17, No. 6, pp. 103-112, Dec. 2016

10.7472/jksii.2016.17.6.103
Keywords: Cloud computing, Cloudlet, Mobile Cloud Computing, K-Means Clustering

10. Clustering Algorithm using the DFP-Tree based on the MapReduce

Young-Won Seo, Chang-soo Kim, Vol. 16, No. 6, pp. 23-30, Dec. 2015

10.7472/jksii.2015.16.6.23
Keywords: SData Mining, Frequent-Pattern tree, Clustering Algorithms, Distributed Processing System, Recommendation System, Map Reduce