overview

My research focuses on the data science of using massive secondary datasets to address specific questions in social, beharvioural, economic, and health sciences. Some refer to this relatively new field as population informatics.

selected publications
Academic Articles30
Chapters4
  • Kum, H., Ahalt, S., & Pathak, D. (2013). Privacy-Preserving Data Integration Using Decoupled Data. Security and Privacy in Social Networks. (pp. 225-253). Springer New York.
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  • Kum, H., Chang, J. H., & Wang, W. (2007). Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB. ADVANCES IN NEURAL NETWORKS - ISNN 2014. Advances in Knowledge Discovery and Data Mining. (pp. 587-597). Springer Berlin Heidelberg.
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  • Kum, H. C., Paulsen, S., & Wang, W. (2005). Comparative study of sequential pattern mining models. Studies in Computational Intelligence. Lin, T. Y., Ohsuga, S., Liau, C. J., Hu, X., & Tsumoto, S. (Eds.), Foundations of Data Mining and Knowledge Discovery. (pp. 43-70). Springer Science & Business Media.
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  • Nyland, L., Prins, J., Yun, R. H., Hermans, J., Kum, H., & Wang, L. (1998). Modeling dynamic load balancing in molecular dynamics to achieve scalable parallel execution. ADVANCES IN NEURAL NETWORKS - ISNN 2014. Solving Irregularly Structured Problems in Parallel. (pp. 356-365). Springer Berlin Heidelberg.
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Conference Papers8
Internet Publications1
chaired theses and dissertations
Email
kum@tamu.edu
First Name
Hye Chung
Last Name
Kum
mailing address
Texas A&M Health Science Center; Health Policy And Management; 1266 TAMUS
College Station, TX 77843-1266
USA