Data Mining / Prediction / Chemometrics

International Journal

  • Hwang, Wook-Yeon and Chi-Hyuck Jun, “Supervised learning-based collaborative filtering using market basket data for the cold-start problem”, Industrial Engineering & Management Systems, 13(4), 421-431, December 2014.

  • Lee, Wonji, Junghye Lee, Hyeseon Lee, Chi-Hyuck Jun, Il-su Park and Sung-Hong Kang, “Prediction of hypertension complicates risk using classification techniques”, Industrial Engineering & Management Systems, 13(4), 449-453, December 2014.

  • Kim, Kyoungok, Chi-Hyuck Jun and Jaewook Lee, “Improved Churn Prediction in Telecommunication Industry by Analyzing a Large Social Network”, Expert Systems With Application, 41(15): 6575-6584, November 2014.

  • Park , Hae-Sang , Jeonghwa Lee and C.-H. Jun, "Clustering Noise- Included Data by Controlling Decision Errors", Annals of Operations Research, 216,129-144, May 2014

  • Kim, Jun-Seong and Chi-Hyuck Jun,“Ranking Evaluation of Institutions Based on a Bayesian Network Having a Latent Variable", Knowledge-Based Systems, 50, 87-99, September 2013

  • Lee, Sanguk, Kyoungok Kim, Hyeseon Lee, Chi-Hyuck Jun, Hoeil Chung and Jong-Jae Park, Improving the classification accuracy for IR spectroscopic diagnosis of stomach and colon malignancy using non-linear spectral feature extraction methods, Analyst, 138, 4076-4082, July 2013.

  • Lee, Jeonghwa and Chi-Hyuck Jun, “PCA-based high-dimensional noisy data clustering via control of decision errors”, Knowledge-Based Systems, 37, 338-345, January 2013.

  • (Book Chapter) Jun, Chi-Hyuck, Yun-Ju Cho, and Hyeseon Lee, “Improving Tree-Based Classification Rules Using a Particle Swarm Optimization”, in C. Emmanouilidis, M. Taisch and D. Kiritsis (Eds), Advances in Production Management Systems, Part II, IFIP AICT 398, 9-16, 2013.

  • Bui, A.T. and Chi-Hyuck Jun, “Learning Bayesian network structure using Markov blanket decomposition”, Pattern Recognition Letters, 33(16), 2134-2140, December 2012.

  • Cho, Yun-Ju, Hyeseon Lee and Chi-Hyuck Jun, “Optimization of decision tree for classification using a particle swarm”, Industrial Engineering & Management Systems, 10(4), 272-278, December 2011.

  • Lee, Sang-Ho and Chi-Hyuck Jun, “Discriminant Analysis of Binary Data Following Multivariate Bernoulli Distribution”, Expert Systems with Applications, 38(6), 7795-7802, June 2011.

  • Lee, Youngrok, Jeonghwa Lee, and Chi-Hyuck Jun, "Stability-Based Validation of Bicluster Solutions", Pattern Recognition, 44(2), 252-264, Feb. 2011.

  • Lee, Jeonghwa and Chi-Hyuck Jun, “Biclustering of ARMA time series”, Journal of Zhejiang University-Science A, 11(12), 959-965, Dec. 2010.

  • Choi, Young-Hun and Chi-Hyuck Jun, “A causal discovery algorithm using multiple regressions”, Pattern Recognition Letters, 31(13), 1924-1934, Oct. 2010.

  • Lee, Jeonghwa, Youngrok Lee and Chi-Hyuck Jun, “A biclustering method for time series analysis”, Industrial Engineering & Management Systems, 9(2), 129-138, June 2010.

  • Park, Hae-Sang, Chi-Hyuck Jun, and Joo-Yeon Yoo, “Classifying genes according to predefined patterns by controlling false discovery rate”, Expert Systems with Applications, 36(9), 11753-11759, November 2009.

  • Ko, Young-hyun and Chi-Hyuck Jun, "Use of reference distributions when dealing with unknown regression errors", Journal of Statistical Computation & Simulation, 79(10), 1195-1204, Oct. 2009.

  • Lee, Youngrok, Jeong-Hwa Lee and Chi-Hyuck Jun, “Validation measures of bicluster solutions”, Industrial Engineering & Management Systems, 8(2), 101-108, June 2009.

  • Park, Hae-Sang and Chi-Hyuck Jun, “A Simple and Fast Algorithm for K-medoids Clustering”, Expert Systems With Applications, 36(2), 3336-3341, March 2009.

  • Ko, Young-Hyun, Sung Pyo Hong and Chi-Hyuck Jun, “On parameter estimation of growth curves for technological forecasting by using non-linear least squares”, International Journal of Management Science, 14(2), 89-104, November 2008.

  • Chong, Il-gyo and Chi-Hyuck Jun, "Flexible Patient Rule Induction Method for Optimizing Process Variables in Discrete Type", Expert Systems With Applications, 34(4), 3014-3020, May 2008.

  • Lee, Daewon, Hyeseon Lee, Chi-Hyuck Jun, Chang Hwan Chang, “A Variable Selection Procedure for X-ray Diffraction Phase Analysis”, Applied Spectroscopy, 61(12), 1398-1403, December 2007.

  • Chong, Il-gyo, Susan Albin, Chi-Hyuck Jun, "A data mining approach to process optimization without an explicit quality function", IIE Transactions, 39(8), 795-804, Aug. 2007.

  • Lee, Hyeseon, Chi-Hyuck Jun, Jaekee Song and Jae-Wha Hong , “The estimation of phase fractions in a galvannealed steel sheet using independent component analysis”, Chemometrics and Intelligent Laboratory Systems, 87(1), 107-113, May 2007.

  • Lee, Jong-Seok, Chi-Hyuck Jun, Jaewook Lee, and Sooyoung Kim, “A model-based collaborative filtering through regularized discriminant analysis using market basket data”, International Journal of Management Science, 12(2), 71-85, November 2006.

  • Lee, Jong-Seok, Chi-Hyuck Jun, Jaewook Lee and Sooyoung Kim, “Classification-based Collaborative Filtering Using Market Basket Data” Expert Systems with Applications, 29(3), 700-704, Sep. 2005.

  • Chong, Il-Gyo and Chi-Hyuck Jun, “Performance of some variable selection methods when multicollinearity is present”, Chemometrics and Intelligent Laboratory Systems, Vol. 78(1-2), 103-112, 2005.

  • Shin, Hyeon Suk, Hyeseon Lee, Chi-Hyuck Jun, Young Mee Jung and Seung Bin Kim, “Transition temperatures and molecular structures of poly(methyl methacrylate) thin films by principal component analysis: comparison of isotactic and syndiotactic poly(methyl methacrylate)”, Vibrational Spectroscopy, 37(1), 69-76, 2005

  • Song, Kyuchul, P. Y. Jang, Hyunbo Cho and Chi-Hyuck Jun, “Partial least square-based model predictive control for large-scale manufacturing processes”, IIE Transactions, 34, 881-890, 2002.

  • Chung, Hoeil, Hyeseon Lee and Chi-Hyuck Jun, "Determination of Research Octane Number using NIR Spectral Data and Ridge Regression", Bulletin of the Korean Chemical Society, 22, 1, 37-42, 2001.1.

  • Park, Kwang-Su, Young-Hyun Ko, Hyeseon Lee, Chi-Hyuck Jun, Hoeil Chung and Min-Sik Ku, "Near-infrared spectral data transfer using independent standardization samples : A case study on the trans-alkylation process", Chemometrics and Intelligent Laboratory Systems, 55, 1-2, 53-65, 2001.1.

  • Park, Kwang-Su, Heyseon Lee, Chi-Hyuck Jun, Kwang-Hyun Park, Jae-Won Jung and Seung-Bin Kim, "Rapid determination of FeO content in sinter ores using DRIFT spectra and multivariate calibrations", Chemometrics and Intelligent Laboratory Systems, 51, 163-173, 2000.

  • Park, Kwang-Su and Chi-Hyuck Jun, “Hybrid Linear Analysis Based on the Net Analyte Signal in Spectral Responses with Orthogonal Signal Correction”, Near Infrared Analysis, 1(2), 1-8, 2000.

  • Ko, Young-Hyun, K.-S. Park, H.-S. Lee, C.-H. Jun, M.-S. Ku and H. Chung, "A Comparison of Standardization Methods in Near-infrared Analysis", Near Infrared Analysis, 1(1), 9-17, 2000

  • Jun, Chi-Hyuck, "Heuristic Shrinkage Estimators of Poisson Means and a Monte Carlo Simulation", Journal of Statistical Computation and Simulation, 47, 181-193, 1993.

  • Jun, Chi-Hyuck, "A New Estimator of the Number of Unseen Species", Asian-Pacific Operations Research: APORS '88 (Edited by B.-H. Ahn), Elsevier Science Pub. B.V.(North-Holland), 1990, pp. 273-282

Domestic Journal

  • Bui, Anh Tuan and Chi-Hyuck Jun, “An improved iterative procedure for outlier detection in time series”, Journal of the Korean Institute of Industrial Engineers, 38(1), 17-24, March 2012 (in English).

  • 김윤대, 전치혁, 이혜선, “벌점 부분최소자승법을 이용한 분류방법”, 한국데이터정보과학 회지, 22(5), 931-940, 2011.9.

  • 이혜선, 이영록, 전치혁, 홍재화, “부분최소자승법과 변수선택을 이용한 코팅두께 예측모델 개발”, 응용통계연구, 23(2), 295-304, 2010.4. (A prediction model for coating thickness based on PLS model and variable selection)

  • 정한나, 이정화, 전치혁, “불균형 이분데이터 분류분석을 위한 데이터마이닝 절차”, 대한산업공학회지, 36(1), 13-21, 2010.3. (A data mining procedure for unbalanced binary classification)

  • 박해상, 유시원, 전치혁, “혼합모델 및 다중가설검정을 이용한 신호와 잡음의 분류”, 응용통계연구, 22(4), 759-770, 2009. 8.

  • 김응구, 전치혁, “미분류 데이터의 초기예측을 통한 군집기반의 부분지도 학습방법” (A clustering-based semi-supervised learning through initial prediction of unlabeled data), 한국경영과학회지, 33(3), 97-109, 2008. 9.

  • Kim, Eung-Gu, Hyeseon Lee and Chi-Hyuck Jun, “Data Segmentation for a Better Prediction of Quality in a Multi-stage Process”, Journal of Korean Data & Information Science Society, 19(2), 609-620, May 2008 (in Korean).

  • 유한민, 전치혁, 이혜선, 홍재화, "XRD 스펙트럼의 비음독립성분분석을 통한 혼합물 구성비 결정", 분석과학, 20(6), 502-507, 2007.12.

  • [특허] 홍재화, 전치혁, 이혜선, “미지 혼합물의 성분비율 예측방법 (Method for Predicting Component Ratio of Unknown Mixture)”, 등록번호(일자) 10-0782712-0000 (2007.11.29) 출원번호(일자) 10-2006-0130466 (2006.12.19).

  • 이혜선, 송재기, 박해상, 전치혁, “독립성분분석을 이용한 혼합물의 미지성분비율 예측” (Predicting unknown composition of a mixture using independent component analysis), 응용통계연구, 19(1), 135-148, 2006.3.

  • 박주석, 고영현, 전치혁, 이재환, 홍승표, 문형돈, “성장곡선 예측모형의 특성치 보정에 따른 매개변수의 재추정”, 산업공학, 16(1), 103-110, 2003.3.

  • 염세경, 홍승표, 강회일, 김지수, 전치혁, “비선형 최소자승법을 이용한 성장곡선모형의 매개변수 추정시 초기값 설정방법에 관한 연구”, 산업공학, 14(2), 190-197, 2001.6.

  • 김국희, 김지수, 강회일, 전치혁, “확산모형을 이용한 전략품목 시장예측모형”, 전자통신동향분석, 15(6), 178-189, 2000.12.

  • 전치혁, 임혜란, "베이지안 기법에 의한 계절성 수요 예측 ", 경영과학, 8(2), 25-35, 1991.