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


    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


    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


    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


    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


    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


    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


    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


    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