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  • enquiries@qiup.edu.my

Assoc. Prof. Dr. Lee Lam Hong

Associate Professor,
School of Computing

Qualifications:

  • BCompSc (Hons)(UPM)
  • PhD (Nottingham)

Research and Teaching Experience:

  • UTAR, 2009 – 2011 (Teaching)
  • 10 years (Research Experience)

Field of Interest:

  • Machine Learning
  • Pattern Recognition
  • Intelligent Systems
  • Text Classification
  • Knowledge Engineering
  • Data Mining
Other Relevant Information
  • Editor – Journal of Advances in Information Technology
  • Reviewer – Information Sciences, Journal of Applied Sciences, International Journal of Computer Science and Information Security
Selected Publication
  • L. H. Lee, R. Rajkumar, L. H. Lo, C. H. Wan, D. Isa (2013), Oil and Gas Pipeline Failure Prediction System using Long Range Ultrasonic Transducers and Euclidean-Support Vector Machines Classification Approach. Expert Systems With Applications – Elsevier, 40(6): 1925-1935.
  • Wan, Lee, R. Rajkumar, D. Isa (2012), A Hybrid Text Classification Approach with Low Dependency on Parameter by integrating K-Nearest Neighbor and Support Vector Machine. Expert Systems With Applications – Elsevier, 39(15): 11880-11888.
  • Lee, Wan, R. Rajkumar, D. Isa (2012), An Enhanced Support Vector Machine Classification Framework By Using Euclidean Distance Function For Text Document Categorization. Applied Intelligence – Springer, 37(1): 80-99.
  • Lee, R. Rajkumar, D. Isa (2012), Automatic Folder Allocation System Using Bayesian – Support Vector Machines Hybrid Classification Approach. Applied Intelligence – Springer, 36(2): 295-307.
  • L. H. Lee, D. Isa, W. O. Choo, W. Y. Chue (2012), High Relevance Keyword Extraction Facility For Bayesian Text Classification On Different Domains Of Varying Characteristic. Expert Systems With Applications – Elsevier, 39(1): 1147-1155.
 
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