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Search: "[ keyword: Unsupervised learning ]" (9)
    Improved Focused Sampling for Class Imbalance Problem
    Man Sun Kim , Hyung Jeong Yang , Soo Hyung Kim , Wooi Ping Cheah The KIPS Transactions:PartB , Vol. 14, No. 4, pp. 287-294, Aug. 2007
    10.3745/KIPSTB.2007.14.4.287


    Autoencoder Based N-Segmentation Frequency Domain Anomaly Detection for Optimization of Facility Defect Identification
    Kichang Park, Yongkwan Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 3, pp. 130-139, Mar. 2024
    https://doi.org/10.3745/TKIPS.2024.13.3.130
    Keywords: Anomaly Detection, Prediction Maintenance, Autoencoder, Unsupervised learning, Frequency Domain


    Intrusion Detection Method Using Unsupervised Learning-Based Embedding and Autoencoder
    Junwoo Lee, Kangseok Kim KIPS Transactions on Software and Data Engineering, Vol. 12, No. 8, pp. 355-364, Aug. 2023
    https://doi.org/10.3745/KTSDE.2023.12.8.355
    Keywords: Anomaly Detection, Unsupervised learning, Embedding Techniques, Autoencoder, Time-Series Data


    Traffic Attributes Correlation Mechanism based on Self-Organizing Maps for Real-Time Intrusion Detection
    Kyoung Ae Hwang , Ha Young Oh , Ji Young Lim , Ki Joon Chae , Jung Chan Nah The KIPS Transactions:PartC, Vol. 12, No. 5, pp. 649-658, Oct. 2005
    10.3745/KIPSTC.2005.12.5.649


    Construction of Linearly Aliened Corpus Using Unsupervised Learning
    Kong Joo Lee , Jae Hoon Kim The KIPS Transactions:PartB , Vol. 11, No. 3, pp. 387-394, Jun. 2004
    10.3745/KIPSTB.2004.11.3.387


    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 Korean Language Stemmer based on Unsupervised Learning
    Se Hyeong Cho The KIPS Transactions:PartB , Vol. 8, No. 6, pp. 675-684, Dec. 2001
    10.3745/KIPSTB.2001.8.6.675


    A Novel of Data Clustering Architecture for Outlier Detection to Electric Power Data Analysis
    Se Hoon Jung, Chang Sun Shin, Young Yun Cho, Jang Woo Park, Myung Hye Park, Young Hyun Kim, Seung Bae Lee, Chun Bo Sim KIPS Transactions on Software and Data Engineering, Vol. 6, No. 10, pp. 465-472, Oct. 2017
    10.3745/KTSDE.2017.6.10.465
    Keywords: Data Analysis, Electric Power, Unsupervised Learning, Outlier, PCA


    Unsupervised Learning Model for Fault Prediction Using Representative Clustering Algorithms
    Euy Seok Hong , Mi Kyeong Park KIPS Transactions on Software and Data Engineering, Vol. 3, No. 2, pp. 57-64, Feb. 2014
    10.3745/KTSDE.2014.3.2.57


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