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Hyun-Jun Kim: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hyun-Jun Kim, Jenu Shrestha, Heung-Nam Kim, GeunSik Jo
    User Action Based Adaptive Learning with Weighted Bayesian Classification for Filtering Spam Mail. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:790-798 [Conf]
  2. Hyun-Jun Kim, Heung-Nam Kim, Jason J. Jung, GeunSik Jo
    On Enhancing the Performance of Spam Mail Filtering System Using Semantic Enrichment. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:1095-1100 [Conf]
  3. Hyun-Jun Kim, Jason J. Jung, GeunSik Jo
    Conceptual Framework for Recommendation System Based on Distributed User Ratings. [Citation Graph (0, 0)][DBLP]
    GCC (1), 2003, pp:115-122 [Conf]
  4. Heung-Nam Kim, Hyun-Jun Kim, GeunSik Jo
    Content-Based Document Recommendation in Collaborative Peer-to-Peer Network. [Citation Graph (0, 0)][DBLP]
    GCC, 2004, pp:575-582 [Conf]
  5. Hyun-Jun Kim, Sang Hyun Park, Jung-Guk Kim, Moon-hae Kim, Kee-Wook Rim
    TMO-Linux: A Linux-Based Real-Time Operating System Supporting Execution of TMOs. [Citation Graph (0, 0)][DBLP]
    Symposium on Object-Oriented Real-Time Distributed Computing, 2002, pp:288-0 [Conf]
  6. Hyun-Jun Kim, Heung-Nam Kim, Jason J. Jung, GeunSik Jo
    Spam Mail Filtering System Using Semantic Enrichment. [Citation Graph (0, 0)][DBLP]
    WISE, 2004, pp:619-628 [Conf]
  7. Heung-Nam Kim, Ae-Ttie Ji, Hyun-Jun Kim, GeunSik Jo
    Error-Based Collaborative Filtering Algorithm for Top-N Recommendation. [Citation Graph (0, 0)][DBLP]
    APWeb/WAIM, 2007, pp:594-605 [Conf]

  8. TMO-NanoQ+: A Real-Time Kernel for Sensor Networks Supporting Time-Triggered and Message-Triggered Tasks. [Citation Graph (, )][DBLP]


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