JICS

1. A Study of Recommendation Systems for Supporting Command and Control (C2) Workflow

Gyudong Park, Gi-Yoon Jeon, Mye Sohn, Jongmo Kim, Vol. 23, No. 1, pp. 125-134, Feb. 2022

10.7472/jksii.2022.23.1.125
Keywords: Command and Control(C2) system, Feature selection, Collaborative Filtering, Context-aware Recommendation System

2. Feature-selection algorithm based on genetic algorithms using unstructured data for attack mail identification

Sung-Sam Hong, Dong-Wook Kim, Myung-Mook Han, Vol. 20, No. 1, pp. 1-10, Feb. 2019

10.7472/jksii.2019.20.1.01
Keywords: Security, Unstructured Data, Intelligent Data Analysis, Feature selection, Attack Mail

3. Combined Feature Set and Hybrid Feature Selection Method for Effective Document Classification

Joo-Ho In, Jung-Ho Kim, Soo-Hoan Chae, Vol. 14, No. 5, pp. 49-58, Oct. 2013

10.7472/jksii.2013.14.5.49
Keywords: Document Classification, Feature selection, mixed feature set, LSA, hybrid feature selection

4. Semantic-based Genetic Algorithm for Feature Selection

Jung-Ho Kim, Joo-Ho In, Soo-Hoan Chae, Vol. 13, No. 4, pp. 1-10, Aug. 2012

10.7472/jksii.2012.13.4.1
Keywords: Classification, Feature selection, Latent Semantic Analysis, genetic algorithm, Support Vector Machine

5. Selecting Minimized Input Features for Detecting Automatic Fall Detection Based on NEWFM

Dong-Kun Shin, Sang-Hong Lee, Joon-Shik Lim, Vol. 10, No. 3, pp. 17-26, Jun. 2009
Keywords: Fall Detection, Fuzzy Neural Networks, Wavelet Transforms, Feature selection

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