Digital Library
Search: "[ keyword: Feature selection ]" (19)
Feature Filtering Methods for Web Documents Clustering
Heum Park , Hyuk Chul Kwon The KIPS Transactions:PartB ,
Vol. 13, No. 4, pp. 489-498,
Aug.
2006
10.3745/KIPSTB.2006.13.4.489
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Comparison of Product and Customer Feature Selection Methods for Content-based Recommendation in Internet Storefronts
Hyung Jun Ahn , Jong Woo Kim The KIPS Transactions:PartD,
Vol. 13, No. 2, pp. 279-286,
Apr.
2006
10.3745/KIPSTD.2006.13.2.279
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
An analysis of Speech Acts for Korean Using Support Vector Machines
Jong Min En , Song Wook Lee , Jung Yun Seo The KIPS Transactions:PartB ,
Vol. 12, No. 3, pp. 365-368,
Jun.
2005
10.3745/KIPSTB.2005.12.3.365
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Comparison of Feature Selection Methods Applied on Risk Prediction for Hypertension
Dashdondov Khongorzul, Mi-Hye Kim KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 3, pp. 107-114,
Mar.
2022
https://doi.org/10.3745/KTSDE.2022.11.3.107
Keywords: KNHANES, Hypertension, Feature selection, Multicollinearity, Factor Analysis
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: KNHANES, Hypertension, Feature selection, Multicollinearity, Factor Analysis
Research about feature selection that use heuristic function
Seok Mi Hong , Kyung Sook Jung , Tae Choong Chung The KIPS Transactions:PartB ,
Vol. 10, No. 3, pp. 281-286,
Jun.
2003
10.3745/KIPSTB.2003.10.3.281
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Improved Network Intrusion Detection Model through Hybrid Feature Selection and Data Balancing
Byeongjun Min, Jihun Ryu, Dongkyoo Shin, Dongil Shin KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 2, pp. 65-72,
Feb.
2021
https://doi.org/10.3745/KTSDE.2021.10.2.65
Keywords: Intrusion Dectection, Deep Learning, Over Sampling, Feature selection
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Intrusion Dectection, Deep Learning, Over Sampling, Feature selection
A Pre-processing Study to Solve the Problem of Rare Class Classification of Network Traffic Data
Ryu Kyung Joon, Shin DongIl, Shin DongKyoo, Park JeongChan, Kim JinGoog KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 12, pp. 411-418,
Dec.
2020
https://doi.org/10.3745/KTSDE.2020.9.12.411
Keywords: Machine Learning, Rare Class, Semi Rare Class, pre-processing, Feature selection
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Machine Learning, Rare Class, Semi Rare Class, pre-processing, Feature selection
Mortality Prediction of Older Adults Using Random Forest and Deep Learning
Junhyeok Park, Songwook Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 10, pp. 309-316,
Oct.
2020
https://doi.org/10.3745/KTSDE.2020.9.10.309
Keywords: Mortality Prediction, Convolutional Neural Network, Random Forest, Feature selection, Deep Learning
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Mortality Prediction, Convolutional Neural Network, Random Forest, Feature selection, Deep Learning
Improvement of Classification Accuracy on Success and Failure Factors in Software Reuse using Feature Selection
Young Ok Kim , Ki Tae Kwon KIPS Transactions on Software and Data Engineering,
Vol. 2, No. 4, pp. 219-226,
Apr.
2013
10.3745/KTSDE.2013.2.4.219
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)