Wooju Kim

Wooju Kim

Yonsei University

Professor

Department of Information and Industrial engineering

Research Area

  • #Computer science
  • #Artificial intelligence
  • #Machine learning
  • #Semantic Web
  • #Labeled data
  • #Unsupervised learning
  • #Data mining
  • #Autoencoder
  • #Knowledge management
  • #Bottleneck

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Contact information

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Related papers to
‘ Computer science ‘ : 6

  • Dynamic faceted navigation in decision making using Semantic Web technology

    2014/05

    2.3 Impact Factor

    9 citations

    Hak Jin Kim, Yongjun Zhu, Wooju Kim, Taimao Sun

    DOI : 10.1016/J.DSS.2014.01.010

    • #Computer science
    • #Artificial intelligence
    • #Data mining
    • #Knowledge management
    • #Machine learning
    • #Information retrieval
    • #Decision support system
    • #Ontology
    • #Categorization
    • #Navigation system
    • #Decision quality
    • #Information gain ratio
    • #Semantic Web
    • #Semantic search

All papers authored by
‘ Wooju Kim ’ : 6

  • Dynamic faceted navigation in decision making using Semantic Web technology

    2014/05
    DECISION SUPPORT SYSTEMS

    2.3 Impact Factor

    9 citations

    Hak Jin Kim, Yongjun Zhu, Wooju Kim, Taimao Sun

    DOI : 10.1016/J.DSS.2014.01.010

    • #Computer science
    • #Artificial intelligence
    • #Data mining
    • #Knowledge management
    • #Machine learning
    • #Information retrieval
    • #Decision support system
    • #Ontology
    • #Categorization
    • #Navigation system
    • #Decision quality
    • #Information gain ratio
    • #Semantic Web
    • #Semantic search

Related papers to
‘ Computer science ‘ : 6

  • Dynamic faceted navigation in decision making using Semantic Web technology

    2014/05
    DECISION SUPPORT SYSTEMS

    2.3 Impact Factor

    9 citations

    Hak Jin Kim, Yongjun Zhu, Wooju Kim, Taimao Sun

    DOI : 10.1016/J.DSS.2014.01.010

    • #Computer science
    • #Artificial intelligence
    • #Data mining
    • #Knowledge management
    • #Machine learning
    • #Information retrieval
    • #Decision support system
    • #Ontology
    • #Categorization
    • #Navigation system
    • #Decision quality
    • #Information gain ratio
    • #Semantic Web
    • #Semantic search
  • Unsupervised learning approach for network intrusion detection system using autoencoders

    2019/09
    JOURNAL OF SUPERCOMPUTING

    2.5 Impact Factor

    2 citations

    Hyunseung Choi, Mintae Kim, Gyubok Lee, Wooju Kim

    DOI : 10.1007/S11227-019-02805-W

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Distributed computing
    • #Intrusion detection system
    • #Support system
    • #Anomaly detection
    • #Labeled data
    • #Unsupervised learning
    • #Supervised learning
    • #Network intrusion detection
    • #Autoencoder

Get access to
Contact information

Log in

All papers authored by
‘ Wooju Kim ’ : 6

  • Dynamic faceted navigation in decision making using Semantic Web technology

    2014/05
    DECISION SUPPORT SYSTEMS

    2.3 Impact Factor

    9 citations

    Hak Jin Kim, Yongjun Zhu, Wooju Kim, Taimao Sun

    DOI : 10.1016/J.DSS.2014.01.010

    • #Computer science
    • #Artificial intelligence
    • #Data mining
    • #Knowledge management
    • #Machine learning
    • #Information retrieval
    • #Decision support system
    • #Ontology
    • #Categorization
    • #Navigation system
    • #Decision quality
    • #Information gain ratio
    • #Semantic Web
    • #Semantic search
  • Unsupervised learning approach for network intrusion detection system using autoencoders

    2019/09
    JOURNAL OF SUPERCOMPUTING

    2.5 Impact Factor

    2 citations

    Hyunseung Choi, Mintae Kim, Gyubok Lee, Wooju Kim

    DOI : 10.1007/S11227-019-02805-W

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Distributed computing
    • #Intrusion detection system
    • #Support system
    • #Anomaly detection
    • #Labeled data
    • #Unsupervised learning
    • #Supervised learning
    • #Network intrusion detection
    • #Autoencoder

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