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Byeong Ho Kang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Timothy J. Everts, Sung Sik Park, Byeong Ho Kang
    Using formal concept analysis with an incremental knowledge acquisition system for web document management. [Citation Graph (0, 0)][DBLP]
    ACSC, 2006, pp:247-256 [Conf]
  2. Richard Dazeley, Byeong Ho Kang
    Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:245-255 [Conf]
  3. Yang Sok Kim, Sung Sik Park, Byeong Ho Kang, Joa Sang Lim
    Using Multiple Classification Ripple Down Rules for Intelligent Tutoring System's Knowledge Acquisition. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:511-519 [Conf]
  4. Yang Sok Kim, Byeong Ho Kang, Young Ju Choi, Sung Sik Park, Gil Cheol Park, Seok Soo Kim
    User Behavior Analysis of the Open-Ended Document Classification System. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:1089-1095 [Conf]
  5. Kang Hyuk Lee, Judy Kay, Byeong Ho Kang
    Active Learning: Applying RinSCut Thresholding Strategy to Uncertainty Sampling. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:922-933 [Conf]
  6. Sung Sik Park, Yang Sok Kim, Gil Cheol Park, Byeong Ho Kang, Paul Compton
    Automated Information Mediator for HTML and XML Based Web Information Delivery Service. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:401-404 [Conf]
  7. Richard Dazeley, Byeong Ho Kang
    Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:499-508 [Conf]
  8. Sung Sik Park, Yang Sok Kim, Byeong Ho Kang
    Web Information Management System: Personalization and Generalization. [Citation Graph (0, 0)][DBLP]
    ICWI, 2003, pp:532- [Conf]
  9. Sung Sik Park, Yang Sok Kim, Byeong Ho Kang
    Web Document Classification: Managing Context Change. [Citation Graph (0, 0)][DBLP]
    ICWI, 2004, pp:143-151 [Conf]
  10. Byeong Ho Kang, Yang Sok Kim
    Noise Elimination from the Web Documents by Using URL Paths and Information Redundancy. [Citation Graph (0, 0)][DBLP]
    IKE, 2006, pp:135-141 [Conf]
  11. N. Churcharoenkrung, Yang Sok Kim, Byeong Ho Kang
    Dynamic Web Content Filtering based on User's Knowledge. [Citation Graph (0, 0)][DBLP]
    ITCC (1), 2005, pp:184-188 [Conf]
  12. Yang Sok Kim, Sung Sik Park, Edward Deards, Byeong Ho Kang
    Adaptive Web Document Classification with MCRDR. [Citation Graph (0, 0)][DBLP]
    ITCC (1), 2004, pp:476-0 [Conf]
  13. Kang Hyuk Lee, Byeong Ho Kang
    A New Framework for Uncertainty Sampling: Exploiting Uncertain and Positive-Certain Examples in Similarity-Based Text Classification. [Citation Graph (0, 0)][DBLP]
    ITCC (2), 2004, pp:474-479 [Conf]
  14. Shakirah Mohd Taib, Soon-ja Yeom, Byeong Ho Kang
    Elimination of Redundant Information for Web Data Mining. [Citation Graph (0, 0)][DBLP]
    ITCC (1), 2005, pp:200-205 [Conf]
  15. Gil Cheol Park, Seok Soo Kim, Gun Tae Bae, Yang Sok Kim, Byeong Ho Kang
    An Automated WSDL Generation and Enhanced SOAP Message Processing System for Mobile Web Services. [Citation Graph (0, 0)][DBLP]
    ITNG, 2006, pp:382-387 [Conf]
  16. Yang Sok Kim, Sung Sik Park, Byeong Ho Kang, Young Ju Choi
    Incremental Knowledge Management of Web Community Groups on Web Portals. [Citation Graph (0, 0)][DBLP]
    PAKM, 2004, pp:198-207 [Conf]
  17. Richard Dazeley, Byeong Ho Kang
    An Augmentation Hybrid System for Document Classification and Rating. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:985-986 [Conf]
  18. Kang Hyuk Lee, Judy Kay, Byeong Ho Kang, Uwe Rosebrock
    A Comparative Study on Statistical Machine Learning Algorithms and Thresholding Strategies for Automatic Text Categorization. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:444-453 [Conf]
  19. Ivan Bindoff, Peter Tenni, Byeong Ho Kang, Gregory Peterson
    Intelligent Decision Support for Medication Review. [Citation Graph (0, 0)][DBLP]
    PKAW, 2006, pp:120-131 [Conf]
  20. Michael S. Zehmeister, Yang Sok Kim, Byeong Ho Kang
    An Illumination Identification System for the AIBO Robot. [Citation Graph (0, 0)][DBLP]
    MUE, 2007, pp:837-842 [Conf]
  21. Byeong Ho Kang, Kenichi Yoshida, Hiroshi Motoda, Paul Compton
    Help Desk System with Intelligent Interface. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1997, v:11, n:7-8, pp:611-631 [Journal]
  22. Byeong Ho Kang, Windy Gambetta, Paul Compton
    Verification and validation with ripple-down rules. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 1996, v:44, n:2, pp:257-269 [Journal]
  23. Yang Sok Kim, Byeong Ho Kang
    Coverage and Timeliness Analysis of Search Engines with Webpage Monitoring Results. [Citation Graph (0, 0)][DBLP]
    WISE, 2007, pp:361-372 [Conf]
  24. Yang Sok Kim, Byeong Ho Kang, Paul Compton, Hiroshi Motoda
    Search engine retrieval of changing information. [Citation Graph (0, 0)][DBLP]
    WWW, 2007, pp:1195-1196 [Conf]
  25. Byeong Ho Kang, Achim G. Hoffmann, Takahira Yamaguchi, Wai Kiang Yeap
    Proceedings of the Pacific Knowledge Acquisition Workshop 2004 [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]

  26. Detecting the Knowledge Boundary with Prudence Analysis. [Citation Graph (, )][DBLP]


  27. An Approach for Generalising Symbolic Knowledge. [Citation Graph (, )][DBLP]


  28. Applying MCRDR to a Multidisciplinary Domain. [Citation Graph (, )][DBLP]


  29. Does Multi-user Document Classification Really Help Knowledge Management? [Citation Graph (, )][DBLP]


  30. Effectiveness of Methods for Syntactic and Semantic Recognition of Numeral Strings: Tradeoffs Between Number of Features and Length of Word N-Grams. [Citation Graph (, )][DBLP]


  31. Using Knowledge Base for Event-Driven Scheduling of Web Monitoring Systems. [Citation Graph (, )][DBLP]


  32. Search Query Generation with MCRDR Document Classification Knowledge. [Citation Graph (, )][DBLP]


  33. Situated Cognition in the Semantic Web Era. [Citation Graph (, )][DBLP]


  34. Measuring Public Accessibility of Australian Government Web Pages. [Citation Graph (, )][DBLP]


  35. A Study on Monitoring Web Page Locating Heuristics. [Citation Graph (, )][DBLP]


  36. Expert-Driven Knowledge Discovery. [Citation Graph (, )][DBLP]


  37. Generalising Symbolic Knowledge in Online Classification and Prediction. [Citation Graph (, )][DBLP]


  38. Consensus Clustering and Supervised Classification for Profiling Phishing Emails in Internet Commerce Security. [Citation Graph (, )][DBLP]


  39. Multiple Classification Ripple Round Rules: A Preliminary Study. [Citation Graph (, )][DBLP]


  40. Simulated Assessment of Ripple Round Rules. [Citation Graph (, )][DBLP]


  41. Knowledge Discovery via Incremental Learning. [Citation Graph (, )][DBLP]


  42. Experimental Investigation of Three Machine Learning Algorithms for ITS Dataset. [Citation Graph (, )][DBLP]


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