Seoung Bum Kim

Refereed Book Chapters Published or In Press

1. Kim, S.B. (2008), Features Extraction and Selection in High-Dimensional Spectral Data, Encyclopedia of Data Warehousing and Mining (2nd Edition), J. Wang editor, IGI Global, Hershey, PA. pp. 863-869.

2. Kim, S.B., C. Temiyasathit, S.-K. Park, V.C.P. Chen (2008), Spatio-Temporal Data Mining for Air Pollution Problems. Encyclopedia of Data Warehousing and Mining (2nd Edition), J. Wang editor, IGI Global, Hershey, pp.1815-1822.

Refereed Journals Papers Published or In Press

3. T. Sukchotrat, S. B. Kim*, F. Tsung (2009). One-Class Classification-Based Control Charts for Multivariate Process Monitoring, IIE Transactions, In Press.

4. Temiyasathit, C., S.B. Kim*, S.-K., Park (2009). Spatial Prediction of Ozone Concentrations Profiles. Computational Statistics and Data Analysis, In Press.

5. Kim, S.B., K.-L. Tsui, T. Sukchotrat, V. C.P. Chen (2009). A Comparison Study and Discussion of the Mahalanobis-Taguchi System. International Journal of Industrial and Systems Engineering, In Press.

6. S. Durai, V.C.P. Chen, J.M. Rosenberger, S.B. Kim, D.F. Buckley-Behan (2009), A Data-Integrated Simulation Model to Evaluate Nurse-Patient Assignments. Health Care Management Science. In Press.

7. Kim, S.B., Z. Wang, B. Hiremath (2009). Bayesian Approach for Alignment of High-Resolution NMR Spectra. Annals of Operations Research, In Press.

8. Mei, Y., S.B. Kim*, K.-L. Tsui (2009), Identification of Major Metabolite Features in High-Resolution NMR Spectra Using Linear-Mixed Effects Models.”Expert Systems with Applications. Vol. 36, Issue 3, pp.4703-4708.

9. Kim, S.B., V. C. P. Chen, Y. Park, T. R. Ziegler, D. P. Jones (2008). Controlling the False Discovery Rate for Features Selection in High-Resolution NMR Spectra. Statistical Analysis and Data Mining, Vol. 1, No 2, pp.57-66.

10. Kim, S.B., Z. Wang, S. Oraintara, C. Temiyasathit, Y. Wongsawat (2008), Feature Selection and Classification of High-Resolution NMR Spectra in the Complex Wavelet Transform Domain, Chemometrics and Intelligent Laboratory Systems, Vol. 90, No. 2, pp. 161-168.

11. Kim, S.B., C. Temiyasathit, S.-K., Park, V. C. P. Chen, M. Sattler, A. Russell (2008). Characterization of Spatially Homogeneous Regions Based on Temporal Patterns of Particulate Matter 2.5 in the Continental United States. Journal of Air and Waste Management Association. Vol. 58, No.7, pp.965-975.

12. Nguyen, H.P., I.P. Ortiz, Temiyasathit, C., S.B. Kim, K.V. Schug (2008), LDI-MS Fingerprinting of Complex Hydrocarbon Mixture: Application to Crude Oils Using Data Mining Techniques. Rapid Communications in Mass Spectrometry, Vol. 22, pp.2220-2226.

13. Cho, H.-W., S.B. Kim*, M. Jeong, Y. Park, T. R. Ziegler, D. P. Jones (2008), Genetic Algorithm-Based Feature Selection in High-Resolution NMR Spectra, Expert Systems With Applications, Vol. 35, No. 3, pp.967-975.

14. Cho, H.-W., S.B. Kim*, M. Jeong, Y. Park, N. Gletsu, T. R. Ziegler, D. P. Jones (2008) Discovery of Metabolite Features for the Modeling and Analysis of High-Resolution NMR Spectra, International Journal of Data Mining and Bioinformatics, Vol. 2, No. 2, pp.176-192.

15. Kim, S.B., K. L. Tsui, M. Borodovsky (2006), Multiple Hypothesis Testing in Large-Scale Contingency Tables: Inferring Pair-Wise Amino Acid Patterns in b-sheets, International Journal of Bioinformatics Research and Applications, Vol. 2, No. 2, pp.193-217.

16. Huo, X., S. B. Kim, K. L. Tsui, S. Wang (2006), A Frontier-Based Tree Pruning Algorithm (FBP), INFORMS Journal on Computing, Vol. 18, No. 4, pp.494-505.

17. Park, S.-K., A. Marmur, S. B. Kim, D. Tian, A. G. Russell (2006), Evaluation of Fine Particle Number Concentrations in CMAQ. Aerosol Science and Technology, Vol. 40, No. 11, pp 985-996.

18. Woodall, W. H., R. Koudelik, K.L. Tsui, S. B. Kim, Z. G. Stoumbo, C. P.Carvounis (2003), Review and Analysis of the Mahalanobis-Taguchi System (with discussion), Technometrics, Vol. 45, No.1, pp 1-15. Awarded The Jack Youden Prize.

* denotes corresponding author

Refereed Conference Papers

P. Rattakorn, Y. Peng, S.B. Kim (2009). “Novel Clustering Strategy of Neuronal Response Profiles in Graded Thermal Stimulation.” Proceedings of the Industrial Engineering Research Conference, Miami, FL.

2. S. B. Kim, Temiyasathit, C, A.V. Mathker, H. Liu, K. Bansalah, A. Tuncel, J. Cadeddu, W. Kabbani (2008), Classification Tool For Prostate Cancer Detection in Near Infrared Spectra, Proceedings of the INFORMS Workshop on Data Mining and Health Informatics, Washington D.C.

3. D. Sundaramoorthi, V.C.P. Chen, J. Rosenberger, S. B. Kim (2008), A Data-Integrated-Simulation Based Optimal Policy to Assign Nurses to Patients, Proceedings of the INFORMS Workshop on Data Mining and Health Informatics, Washington D.C.

P. Rattakorn, Y. Peng, S.B. Kim (2008). “Clustering of Neuronal Response Profiles in Graded Thermal Stimulation.” Proceedings of the Industrial Engineering Research Conference, Vancouver, Canada.

T. Sukchotrat, S. B. Kim, V. C.P. Chen, C. Carter, W. Dockrey, and R. Tapia (2008). “An Application of Classification-Based Control Charts on a Power Plant Data.” Proceedings of the Industrial Engineering Research Conference, Vancouver, Canada.

T. Sukchotrat and S.B. Kim (2008). “One-Class Classification Techniques for Improving Phase I Analysis in Statistical Process Control.” Proceedings of the Industrial Engineering Research Conference, Vancouver, Canada.

H. Bae, W. Hur, S. Das, S.B. Kim (2008). “A New Framework for Business Process Knowledge Discovery.” Proceedings of the Industrial Engineering Research Conference, Vancouver, Canada.

8. Rattakorn, P., C.E. Hagains, T. Ativanichayaphong, V.C. Chen, Y.B. Peng, S.B. Kim, J.M. Rosenberger and J.C. Chia (2007), Statistical Data Mining of Wireless Neurostimulation System for Pain Reduction, Proceedings of the INFORMS Artificial Intelligence and Data Mining Workshop, Seattle , WA.

9. Mei, Y., S.B. Kim, and K.-L. Tsui (2007), Identification of major metabolite features in high-resolution NMR spectra, Proceedings of the INFORMS Artificial Intelligence and Data Mining Workshop, Seattle , WA.

10. Kim, S.B, J. Rosenberger, V.C.P. Chen, H. Fan, D.T. Shih (2007). Statistical Mining the Environmental Impact of Airport Deicing Activities, Proceedings of the Industrial Engineering Research Conference, Nashville, TN.

11. Temiyasathit, C., S.B. Kim, N. Sule (2007) Statistical Modeling for the Prediction of Ozone Concentrations in the Dallas-Forth Worth Area, Proceedings of the Industrial Engineering Research Conference, Nashville, TN.

12. Kang, C.-W., T. Sukchotrat, S.B. Kim (2007). Data Mining Approach to Improve Phase I Process Control, Proceedings of the Industrial Engineering Research Conference, Nashville, TN.

13. Wang, Z., S.B. Kim (2006), Automatic Alignment of High-Resolution NMR Spectra Using a Bayesian Estimation Approach, IEEE International Conference of Pattern Recognition, Vol. 4, pp. 667-670.

14. Shih, D. T., V. L. Pilla, S. B. Kim, J. M. Rosenberger and V. C. P. Chen (2006). Efficient Computer Experiment Based Optimization through Variable Selection, Proceedings of the INFORMS Artificial Intelligence and Data Mining Workshop, Pittsburgh , PA.

15. Kim, S.B, Z. Wang, and C. M. Duran (2006). A Bayesian Approach for the Alignment of High-Resolution NMR spectra, Proceedings of the INFORMS Artificial Intelligence and Data Mining Workshop, Pittsburgh , PA.

16. Sundaramoorthi, D., V.C.P. Chen, S.B. Kim, J.M. Rosenberger, D.F. Buckley-Behan (2006). A Data-Integrated Nurse Activity Simulation Model, Proceedings of the 2006 Winter Simulation Conference, Monterey, CA.

17. Shih, D.T., V.C.P. Chen, S.B. Kim (2006). Convex Version of Multivariate Adaptive Regression Splines for Optimization, Proceedings of the Industrial Engineering Research Conference, Orlando, FL.

18. Sundaramoorthi, D., V.C.P. Chen, J.M. Rosenberger, S.B. Kim, D.F. Buckley-Behan (2006). Using Classification and Regression Trees for a Nurse Activity Simulation, Proceedings of the Industrial Engineering Research Conference, Orlando, FL.

Dissertation

· S.B. Kim (2005), Data Mining in Tree-Based Models and Large-Scale Contingency Tables, Ph.D. Dissertation, Georgia Institute of Technology, Atlanta, GA.

Selected Conference Presentations (as Lead or Co-Author)

C. Temiyasathit and S.B. Kim. Spatio-Temporal Analysis for Ozone Concentration, INFORMS, Seattle, WA, 2007.
T. Sukchotrat and S.B. Kim. A Data Mining Approach for Multivariate Statistical Process Control, INFORMS, Seattle, WA, 2007.
S.B. Kim, J. Rosenberger, V.C.P. Chen, H. Fan, P. Tarun. Data-Driven Optimization for Minimizing the Environmental Impact of Airport Deicing Activities, INFORMS, Seattle, WA, 2007.
D. Sundaramoorthi, V.C.P. Chen, J. Rosenberger, and S.B. Kim. A Data-Integrated Nurse-Patient Assignment Simulation: Development and Validation, INFORMS, Seattle, WA, 2007.
Ortiz, H.P. Hien, C. Temiyasathit, S.B. Kim, K. Schug, MALDI-MS Fingerprinting of Complex Hydrocarbon Mixtures: Application to Crude Oils Using Data Mining Techniques, UT System NSF Louis Stokes Alliance for Minority Participation (LSAMP), San Antonio, TX, 2007.

P. Rattakorn, C.E. Hagains, T. Ativanichayaphong, V.C. Chen, Y.B. Peng, S.B. Kim, J.M. Rosenberger and J.C. Chiao, Statistical Data Mining of Wireless Neurostimulation System, BMES Biomedical Engineering Society Annual Meeting, Los Angeles, CA, Sept. 26-29, 2007.

S.B. Kim, Feature Extraction & Selection in High-Resolution NMR Spectra, International INFORMS, Puerto Rico, 2007.

8. M.A. Raji, S.B. Kim, G. Mavromaras, J.-M. Ahn, K.A. Schug, Effects of Physico-Chemical Parameters on ESI-MS Response Factors of GXG Tripeptides, American Society of Mass Spectrometry (ASMS), Indianapolis, IN, 2007.

S.B. Kim, J. Rosenberger, V.C.P. Chen, H. Fan, T. Shih. Statistical Mining the Environmental Impact of Airport Deicing Activities, IE Research Conference, Nashville, TN, 2007.
C. Temiyasathit, S. Neelesh, and S.B. Kim. Statistical Modeling for the Prediction of Ozone Concentrations in the Dallas-Forth Worth Area, IE Research Conference, Nashville, TN, 2007.

11. S. Thuntee, S.B. Kim, and C.W. Kang. A Data Mining Approach to Improve Phase I Process Control, IE Research Conference, Nashville, TN, 2007.

12. S.B. Kim. Data Mining and Its Applications, University of Houston INFORMS Lecture Series, Houston, TX, 2007.

13. S.B. Kim, D. Jones, Multiple testing procedure for feature selection in high-resolution NMR spectra, ENAR, Atlanta, GA, 2007.

14. Y. Mei, S.B.Kim, K.-L. Tsui. Identification of major metabolite features in high-resolution NMR spectra using linear-mixed effects models. ENAR, Atlanta, GA, 2007.

15. S. B. Kim, V. C. P. Chen, Z. Wang, C. Temiyasathit, D. Jones. Toward Better Visualization, Identification and Classification in Metabolomics, UT Metropolex Days, Arlington and Dallas , TX , 2006.

16. S. B. Kim, Z. Wang, and C. M. Duran. A Bayesian Approach for the Alignment of High-Resolution NMR Spectra, Artificial Intelligence and Data Mining Workshop, Pittsburgh , PA , 2006.

17. Shih, D. T., V. L. Pilla, S. B. Kim, J. M. Rosenberger and V. C. P. Chen , Efficient Computer Experiment Based Optimization through Variable Selection. Artificial Intelligence and Data Mining Workshop, Pittsburgh , PA , 2006.

18. C. Temiyasathit, S.B. Kim, Characterizing Spatial and Temporal Patterns of PM2.5 in the Continental United States, INFORMS, Pittsburgh , PA , 2006.

19. D. Sundaramoorthi, V.C.P. Chen, J.M. Rosenberger, S.B. Kim, A Data-Integrated Simulation Model for Nurse Activity, INFORMS, Pittsburgh , PA , 2006.

20. T.D. Shih, V.C.P. Chen, S.B. Kim, Convex Version of Multivariate Adaptive Regression Splines for Optimization, INFORMS, Pittsburgh, PA, 2006.

21. C. Temiyasathit, S.B. Kim, " Data Mining for Characterizing Spatial and Temporal Patterns of PM2.5 in the Continental United States," Research Day '06, Arlington, TX, 2006.

22. H. W. Cho, S. B. Kim, and M. K. Jeong, "Multivariate Statistical Approach Applied to 1H NMR Based Metabolic Profiling," 2006 Joint Research Conference on Statistics in Quality, Industry, and Technology, Knoxville, TN, 2006.

23. Buckley-Behan, D., Rosenberger, J., Chen, V. Kim, S.B., Punnakitikashem, P., "Optimization and Simulation for Nurse Assignment," Sigma Theta Tau 17^th International Nursing Research Congress Focusing on Evidence-Based Practice, Montreal, Canada, 2006.

24. S.B. Kim, Performance of Cross Validation in Tree-Based Models, IERC, Orlando, 2006.

25. S.B. Kim, S.-K. Park, V.C.P. Chen. J.M. Rosenberger, Data Mininig in Air Quaility Problems, IE Research Conference, Orlando, 2006.

26. J.M. Rosenberger, V.C.P. Chen, S.B. Kim, Simulation Optimization for Aircraft Rotation, IE Research Conference, Orlando, 2006.

27. T.D. Shih, V.C.P. Chen, S.B. Kim, Convex Version of Multivariate Adaptive Regression Splines for Optimization, IE Research Conference, Orlando, FL, 2006.

28. D. Sundaramoorthi, V.C.P. Chen, J.M. Rosenberger, S.B. Kim, D.F. Buckley-Behan, Using Classification and Regression Trees for a Nurse Activity Simulation, IE Research Conference, Orlando, FL, 2006.

29. S.B. Kim, Statistical Pattern Recognition for Metabolomics, Genomics and Bioinformatics Groups in University of Texas at Arlington , TX , 2006.

30. S.B. Kim, M. Whiteside, A. Wang, Statistics, Data Mining, and Business Intelligence (Panel Discussion), Federation of Business Disciplines, Oklahoma City , OK , 2006.

31. S.B. Kim, Y. Park, T, Zeigler, D. Jones, Pattern Recognition Approaches Applied to Metabolic Profiling for Sulfur Amino Acid Deficiency in Human Plasma, Analytic Methods for Metabolic Profiling, Orlando, FL, 2005.

32. Y, Li, S.B. Kim, cDNA Microarray Analysis of Human Transcriptions Factor Expression in Breast Cancer Cell Lines, ChipsToHits, Boston, MA , 2005.

33. S.B. Kim, Statistical Pattern Recognition in Metabolomics, INFORMS, San Francisco , CA , 2005.

34. S.B. Kim, Quantification of Spatial Variability Using Interpolation Techniques, INFORMS, San Francisco, CA , 2005.

35. D. Sundaramoorthi, J. Rosenberger, V. Chen, S.B. Kim , Using Classification Trees to Develop a Nurse Activity Simulation, INFORMS, San Francisco , CA , 2005.

36. S.B. Kim, Minitab Tutorial, Clinical Biomarkers Laboratory, School of Medicine, Emory University, Atlanta , GA , 2005.

37. S.B. Kim, The Statistics Behind Metabonomics, School of Medicine, Emory University, Atlanta, GA , 2005.

38. S.B. Kim, Data Mining in Tree-Based Models and Large-Scale Contingency Table, IBM Thomas J. Watson Research Center, Yorktown Heights , NY , 2004.

39. S.B. Kim, K.-L. Tsui, M. Borodovsky, False Discovery Rate in Large-Scale Contingency Table: Application to Protein Structure Data, INFORMS, Denver , CO , 2004.

40. S.B. Kim , X.Huo, K.-L. Tsui, Study of Cross-Validation in Tree-Based Classifier, INFORMS, Atlanta , GA , 2003.

41. S.B. Kim, K.-L. Tsui, Using Tree-Based Methods for Improving Gene Prediction, SRCOS/ASA Summer Research Conference, Jekyll Island , GA , 2003.

42. S.B. Kim, Developing New Strategy for the Letter Box Placement Via Data Mining, United Parcel Service Corporate, Atlanta , GA , 2002.

43. W. H.Woodall, R. Koudelik, K.L. Tsui, S.B.Kim, Z. G. Stoumbo, C. P.Carvounis , Review and Analysis of the Mahalanobis-Taguchi System, Joint Statistical Meeting (JSM), Atlanta, GA , 2001.