Name Kyoung Ok,Kim
Position professor
Tel +82-2-970-7286
Fax 02-979-3377
E-mail kyoungok.kim@seoultech.ac.kr
Biography
Ph.D in Department of Industrial and Management Engineering, POSTECH (Pohang University of Science and Technology), August 2013
B.S. in Materials Science and Engineering, POSTECH, February 2008
Careers
Research Fellow, Industry & Strategy Department Ⅰ, Samsung Economic Research Institute, March 2015~August 2015
Research Associate, Industry & Strategy Department Ⅰ, Samsung Economic Research Institute, September 2013~Feburuary 2015
Research Areas
Statistical Analysis, Learning, and Data Mining:
Kernel methods, Clustering, Multivariate data analysis, Support vector machines, Neural networks, Data Mining of business problems such as marketing and business, Dimensionality reduction
Teaching
Data MIning
Selected Publications
A. International Journals

1.  Kyoungok Kim, Youngdoo Son and Jaewook Lee, Voronois Cell-based Clustering Using a Kernel Support, IEEE Trans. on Knowledge and Data Engineering, accepted (available online)
2.  Kyoungok Kim and Jaewook Lee, Nonlinear Dynamic Projection for Noise Reduction of Dispersed Manifolds, IEEE Trans. on Pattern Analysis and Machine Intelligence, 36(11): 2303-2309 (2014)
3.  Kyoungok Kim, 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 (2014)
4.  Kyoungok Kim and Daewon Lee, Inductive Manifold Learning using Structured Support Vector Machine, Pattern Recognition, 47(1): 470-479 (2014)
5.  Kyoungok Kim and Jaewook Lee, Sentiment Visualization and Classification via Semi-supervised Nonlinear Dimensionality Reduction, Pattern Recognition, 47(2): 758-768 (2014)
6.  Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, and Kyoungok Kim, Gradients Weights improve Regression and Classification, Journal of Machine Learning Research, under review
7.  Sanguk Lee, Kyoungok Kim, Hyeseon Lee, Chi-Hyuck Jun, Hoeil Chung and Jong-Jae Par, Improving the Classification Accuracy for IR Spectroscopic Diagnosis of Stomach and Colon Malignancy using Non-linear Spectral Feature Extraction, Analyst, 138(14): 4076-4082 (2013)
8.  Kyoungok Kim and Jaewook Lee, Sequential Manifold Learning for Efficient Churn Prediction, Expert Systems With Application, 39(18): 13328-13337 (2012)

B. International Conferences

1  Kyoungok Kim, Chi-Hyuck Jun, and Jaewook Lee, Churn Prediction using Social Network Analysis, Asia Pacific Industrial Engineering and Management Society (APEIMS) 2012 Conference, Phuket, Thailand, Dec. 2012
2  Kyoungok Kim, Namhyoung Kim, Jaewook Lee, Seok Kang and Taewon Suh, City Web Site and Engagement: A Bayesian Belief Network Approach, AMA Winter Marketing Educators¢®? Conference 2012, St. Petersburg, USA, Feb. 2012
3  Misuk Kim, Kyoungok Kim and Jaewook Lee, Multi-Basin Neighbor Search method for global optimization, Asia Pacific Industrial Engineering and Management Society (APEIMS) 2011 Conference, Beijing, China, Oct. 2011
4  Namhyoung Kim, Kyu-Hwan Jung, Kyoungok Kim and Jaewook Lee, Barrier Option Pricing with Model Averaging Methods, Asia Pacific Industrial Engineering and Management Society (APEIMS) 2009 Conference, Kitakyushu, Japan, Dec. 2009

C. Domestic Journals/Conferences

1  Kyoungok Kim, Hyeseon Lee, Chi-Hyuck Jun, Sanguk Lee, Hoeil Chung, and Jong-Jae Park, Classification of cancer malignancy using nonlinear dimensionality reduction, Korean Institute of Industrial Engineers 2013 Spring Conference, Yeosu, Korea, May. 2013
2  Kyoungok Kim, Jaewook Lee, and Daewon Lee, Inductive Manifold Learning using Structured Support Vector Machine, Korea BI Data Mining 2012 Fall Conference, Busan, Nov. 2012
3  Kyoungok Kim and Jaewook Lee, Sequential Nonlinear Dimensionality Reduction for Churn Prediction, Korean Institute of Industrial Engineers 2012 Spring Conference, Gyeongju, Korea, May. 2012
4  Kyoungok Kim and Jaewook Lee, Empirical study of lower bound of improved fast Gaussian transform, Korean Institute of Industrial Engineers 2010 Spring Conference, Jeju, Korea, Jun. 2010
Journal Papers
- Spatial Contiguity-Constrained Hierarchical Clustering for Traffic Prediction in Bike Sharing Systems, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022
- Investigation on Viewing Behaviors for Home Shopping Channels Using Large-Scale TV Log Data, Journal of Knowledge and Systems Science, 2022
- Normalized class coherence change-based k NN for classification of imbalanced data, PATTERN RECOGNITION, vol.120, 2021
- An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data, EXPERT SYSTEMS WITH APPLICATIONS, vol.184, 2021
- Noise Avoidance SMOTE in Ensemble Learning for Imbalanced Data, IEEE Access, vol.9 pp.143250~143265, 2021
- Impact of COVID-19 on Usage Patterns of a Bike-Sharing System: Case Study of Seoul, JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, vol.147 No.10, 2021
- A K-Means-Based Clustering Algorithm for Traffic Prediction in a Bike-Sharing System, 정보처리학회논문지. 소프트웨어 및 데이터 공학, vol.10 No.5 pp.169~178, 2021
- The Influence of Social Sentiment on Cryptocurrency Volatility through Comparison with Commodity Money, Journal of the Korean Institute of Industrial Engineers, vol.47 No.1 pp.23~33, 2021
- Investigation on the Factors Affecting the Number of International Visitors Using Online Reviews, Journal of the Korean Institute of Industrial Engineers, vol.47 No.1 pp.45~55, 2021
- Effects of Weather and Calendar Events on Mode-Choice Behaviors for Public Transportation, JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, vol.146 No.7, 2020
- Identifying the Structure of Cities by Clustering Using a New Similarity Measure Based on Smart Card Data, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol.21 No.5 pp.2002~2011, 2020
- Semi-supervised distributed representations of documents for sentiment analysis, Neural Networks, vol.119 pp.139~150, 2019
- A hybrid decision tree algorithm for mixed numeric and categorical data in regression analysis, Pattern Recognition Letters, vol.98 pp.39~45, 2017
- A weighted k-modes clustering using new weighting method based on within-cluster and between-cluster impurity measures, Journal of Intelligent & Fuzzy Systems, vol.32 No.1 pp.979~990, 2017
- A hybrid classification algorithm by subspace partitioning through semi-supervised decision tree, PATTERN RECOGNITION, vol.60 pp.157~163, 2016
- Gradients weights improve regression and classification, Journal of Machine Learning Research, vol.17 , 2016
- Voronoi Cell-Based Clustering Using a Kernel Support, IEEE Transactions on Knowledge and Data Engineering, vol.27 No.4 pp.1146~1156, 2015
Conference Papers
- 정주현, 강의현, 김경옥, COVID-19에 의한 서울시 공공자전거 이용패턴의 변화 이용권에 따른 분석, 2021 대한산업공학회 추계학술대회, 동국대학교 , 2021
- 이경찬, 김경옥, 세션 기반 순환신경망 추천 모델의 성능 향상욜 위한 데이터 증강 기법, 2021 대한산업공학회 추계학술대회, 동국대학교, 2021
- 이청록, 김경옥, 협업필터링 기반 추천시스템을 위한 장르 및 등급 정보를 활용 한 유사도 지표, 대한산업공학회/한국경영과학회 2021 춘계 공동학술대회, 제주 국제컨벤션센터(ICC), 2021
- 이도현, 김경옥, 불균형 데이터의 노이즈에 강건한 Adaboost 알고리즘, 대한산업공학회/한국경영과학회 2021 춘계 공동학술대회 , 제주 국제컨벤션센터(ICC), 2021
- 박홍제, 김경옥, 오토인코더 기반 다변량 시계열 데이터 이상 탐지를 위한 학습 데이터 필터링, 2020 대한산업공학회 추계학술대회, 온라인, 2020
- 이도현, 김경옥, A Study on Calculating Over-sampling Ratio using Classification Complexity, 2020 온라인 춘계학술발표대회 논문집, 온라인, 2020
- 이창환, 김경옥, 군집분석을 통한 공공 자전거 수요 예측, 2019 대한산업공학회 추계학술대회, 서울대학교, 2019
- Nguyen Thi Hanh Duyen, 김경옥, Mining Activities of Social Advocates Accounts on Twitter, 2017 대한산업공학회 추계학술대회, 대전 카이스트, 2017
- 장시영, 김경옥, 텍스트 분류를 위한 삼각 비교 측정을 기반으로 한 변수 선택, 2017 대한산업공학회 추계학술대회, 대전 카이스트, 2017
- 권현이, 김경옥, 데이터마이닝 기법을 활용한 택시 이용 Hot Spot 분석 및 지리적 특징과의 관계 파악 - 서울시를 중심으로, 2016 대한산업공학회 추계학술대회 논문집, 고려대학교, 2016
- 김경옥, 홍정식, A Hybrid Decision Tree Algorithm for Mixed ddata in regression Analysis, 2016 한국경영과학회 추계학술대회, KAIST(홍릉), 2016
Projects
- spatio-temporal 데이터의 deep learning 알고리즘을 활용한 교통/이동량 예측 모형 개발, 한국연구재단, 2017.03.~2020.02.
- 중소, 중견기업의 경영전략 수립을 위한 지능형 검색이 가능한 가치사슬 규명 엔진 개발, 정보통신기술진흥센터, 2016.04.~2016.12.
- 소셜 네트워크 확산 모형을 활용한 통신사 이탈 고객 예측, 산학협력단, 2015.11.~2016.10.
- 불순도 척도를 이용한 혼합 데이터를 위한 개선된 k-prototype 클러스터링 방법론, 산학협력단, 2015.10.~2016.09.
수상
- 코로나19 발생에 따른 서울시에서의 이동 및 소비패턴 변화 분석, 2020 서울연구논문공모전 장려상, 서울연구원, 2020
- A Study on Calculating Over-sampling Ratio using Classification Complexity, 우수논문상, Korea Information Processing Society, 2020
- 미시 공간 기반 신설 법인의 입지특성 분석, 2019 서울연구논문공모전 서울창의상, 지식경영부문 장려, 서울특별시, 서울연구원, 2019
- 자전거 불균형을 고려한 공유자전거 시스템 운영을 위한 공유자전거 이용 특성에 대한 연구, 2018 서울연구논문 공모전 서울창의상, The Seoul Institute, 2018
- 택시와 대중교통 이용 패턴 차이를 유발하는 공간적, 사회적 특성 연구, 공공데이터를 활용한 2016 서울연구논문 공모전, 서울연구원, 2016