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Search: "[ keyword: 기계학습 ]" (50)
    A Comparative Study of Machine Learning Algorithms Using LID-DS DataSet
    Park DaeKyeong, Ryu KyungJoon, Shin DongIl, Shin DongKyoo, Park JeongChan, Kim JinGoog KIPS Transactions on Software and Data Engineering, Vol. 10, No. 3, pp. 91-98, Mar. 2021
    https://doi.org/10.3745/KTSDE.2021.10.3.91
    Keywords: Machine Learning, HIDS, NIDS, LID-DS


    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


    Analysis of Disaster Safety Situation Classification Algorithm Based on Natural Language Processing Using 119 Calls Data
    Su-Jeong Kwon, Yun-Hee Kang, Yong-Hak Lee, Min-Ho Lee, Seung-Ho Park, Myung-Ju Kang KIPS Transactions on Software and Data Engineering, Vol. 9, No. 10, pp. 317-322, Oct. 2020
    https://doi.org/10.3745/KTSDE.2020.9.10.317
    Keywords: Artificial intelligence, emergency response, Natural Language Processing, Situation Classification, Machine Learning


    Tor Network Website Fingerprinting Using Statistical-Based Feature and Ensemble Learning of Traffic Data
    Junho Kim, Wongyum Kim, Doosung Hwang KIPS Transactions on Software and Data Engineering, Vol. 9, No. 6, pp. 187-194, Jun. 2020
    https://doi.org/10.3745/KTSDE.2020.9.6.187
    Keywords: Anonymous Network, Traffic Collection, Website Fingerprinting, Ensemble Algorithm, Machine Learning


    Prediction of English Premier League Game Using an Ensemble Technique
    Yi Jae Hyun, Lee Soo Won KIPS Transactions on Software and Data Engineering, Vol. 9, No. 5, pp. 161-168, May. 2020
    https://doi.org/10.3745/KTSDE.2020.9.5.161
    Keywords: Machine Learning, Artificial intelligence, Sports Game Prediction, Ensemble Technique, Data Analysis


    Hourly Prediction of Particulate Matter (PM2.5) Concentration Using Time Series Data and Random Forest
    Deukwoo Lee, Soowon Lee KIPS Transactions on Software and Data Engineering, Vol. 9, No. 4, pp. 129-136, Apr. 2020
    https://doi.org/10.3745/KTSDE.2020.9.4.129
    Keywords: Particulate Matter, PM2.5, Time Series Data, Machine Learning, Random Forest


    Generating Training Dataset of Machine Learning Model for Context-Awareness in a Health Status Notification Service
    Jong Hyeok Mun, Jong Sun Choi, Jae Young Choi KIPS Transactions on Software and Data Engineering, Vol. 9, No. 1, pp. 25-32, Jan. 2020
    https://doi.org/10.3745/KTSDE.2020.9.1.25
    Keywords: context-awareness, Machine Learning Model, Generating Training Dataset, Maintaining Accuracy


    Development of Joint-Based Motion Prediction Modelfor Home Co-Robot Using SVM
    Sungyeob Yoo, Dong-Yeon Yoo, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 491-498, Dec. 2019
    https://doi.org/10.3745/KTSDE.2019.8.12.491
    Keywords: Machine Learning, IoT, Digital Twin, Big data, Co-Robot


    Network Intrusion Detection System Using Feature Extraction Based on AutoEncoder in IOT environment
    Joohwa Lee, Keehyun Park KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 483-490, Dec. 2019
    https://doi.org/10.3745/KTSDE.2019.8.12.483
    Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder


    A Study on Machine Learning Algorithm Suitable for Automatic Crack Detection in Wall-Climbing Robot
    Jae-Min Park, Hyun-Seop Kim, Dong-Ho Shin, Myeong-Suk Park, Sang-Hoon Kim KIPS Transactions on Software and Data Engineering, Vol. 8, No. 11, pp. 449-456, Nov. 2019
    https://doi.org/10.3745/KTSDE.2019.8.11.449
    Keywords: Wall-Climbing Robot, Crack Detection Algorithms, Machine Learning, localization


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