Deep Learning & Machine Learning

  • 데이터에 내재된 패턴, 규칙, 의미 등을 추출하고 다양한 분야에 적용하는 연구


  • 데이터에 내재된 패턴, 규칙, 의미 등을 추출하고 이를 다양한 분야에 적용하는 연구를 진행

  • 자연어처리, 텍스트 및 소셜 미디어 마이닝 등 문서 텍스트 분석을 위한 모델을 개발하고 다양한 분야에 적용하는 연구를 진행

  • 딥러닝 기법을 통해 다양한 실제 데이터를 분석하고 이를 기반으로 추천 시스템을 구축하는 것을 목표로 다양한 연구를 진행



Internatioanl Journal

  • Hea In Lee, Il Young Choi, Hyun Sil Moon, Jae Kyeong Kim. “A Multi-Period Product Recommender System in Online Food Market based on Recurrent Neural Networks”, Sustainability, Vol.12 , No.3 , pp.1-13, 2020.01<SSCI>



Interantional Conference

  • Hae In Lee, Il Young Choi, Hyun Sil Mon, Jae Kyeong Kim, "A Multi-Period Product Recommender System in Online Food Market based on Recurrent Neural Networks”, The 21st International Conference on Electronic Commerce(ICEC2019), Excellence Research Paper, Busan, Korea, 2019.7

Domestic Conference

  • 이청용, 최일영, 김재경, "기대불일치 이론을 이용한 심층 신경망 기반 추천시스템의 정확도, 다양성 및 고객 만족도 평가", 한국경영정보학회 2019년 추계학술대회, 2019.11

  • 김기휘, 문현실, 김재경, "딥러닝 모델을 활용한 상품 판매량 예측에 관한 연구", 한국전자거래학회&한국지식경영학회 2019년 추계학술대회, 2019.11

  • 전상홍, 문현실, 김재경, " 의사결정나무에 기반한 취업지원자의 지원결과 분석", 한국IT서비스학회 2019년 추계학술대회, 2019.11


Domestic Conference

  • 하주혁, 최일영, 김재경, “CNN을 활용한 얼굴의 감정변화 패턴 인식 및 연기 수행을 위한 추천”, 한국지능정보시스템학회 2018년 추계학술대회, 2018. 11

  • 이혜인, 김재경, “A RNN-based Multi-Period Recommender System considering Repurchase Behavior”, 한국경영정보학회 2018년 추계학술대회, 2018. 11


Domestic Journal

  • 정민규, 최일영, 김재경, “Emotion Detection Model based on Sequential Neural Networks in Smart Exhibition Environment”, 지능정보연구, Vol.23, No.1, pp.109-126, 2017.3

Domestic Conference

  • 조용주, 최일영; 문현실; 이혜인; 김재경, “Enhancement of Recommender Systems based on Reinforcement Learning”, 한국경영정보학회 2017년 춘계통합학술대회, 2017.6


Domestic Conference

  • 박상현, 문현실, 김재경, “토픽모델링과 인공신경망을 이용한 온라인 상품 리뷰의 평점 예측”, 한국지능정보시스템학회 2016년 추계학술대회, 2016.11


Domestic Journal

  • 안현철, 김성진, 김재경, “GA-optimized Support Vector Regression for an Improved Emotional State Estimation Model”, KSII Transactions on Internet & Information Systems(한국인터넷정보학회) Vol.8, No.6, pp.2056-2069, 2014.6. <SCIE>



Internatioanl Journal

  • Young U, Ryu, Jae Kyeong Kim, Kwang Hyuk Im and Hankuk Hong, “Neural Network Analysis of Right-Censored Observations for Occurrence Time Prediction”, Lecture Notes in Business Information Processing, Vol.108, No.1 , pp.100-109, 2012.8

  • Min Kyu Jung, Jae Kyeong Kim, Young Ryu, and Hyunchul Ahn, “An intelligent determination model of user’s emotion using sequential neural network”, ICMS 2012: International Conference on Marketing Studies, Bangkok, 2012.8.17-19

Domestic Journal

  • 김성진, 유은정, 정민규, 김재경, 안현철 “감정예측모형의 성과개선을 위한 Support Vector Regression 응용”, 지능정보연구 Vol.18, No3, pp.185-202, 2012.9

Domestic Conference

  • Min Kyu Jung, Hyun Chul Anh, Jae Kyeong Kim, “An Intelligent Determination Model of Audience’s Emotion based on Artificial Neural Network”, 한국경영정보학회&한국정보시스템학회2012춘계공동학술대회, 2012.6

  • 김성진, 정민규, 유은정, 김재경, 안현철 “Support Vector Regression을 활용한 지능형 감정판단모형의 개선”, 한국지능정보시스템학회2012춘계학술대회, 2012.5


Internatioanl Journal

  • Jae kyeong Kim, Hee Seok Song, Tae Seong Kim and Hyea Kyeong Kim, “Detecting the Change of Customer Behavior Based on Decision Tree Analysis”, Expert Systems, Vol.22, No.4, pp.193-205(13), 2005.9 <SCI>


Internatioanl Journal

  • Jae Kyeong Kim, Kun Chang Lee, Jae Kwang Lee, "Hybrid of neural network and decision knowledge approach to generating influence diagrams", Expert Systems With Applications, Vol. 23, No.3, pp.237-244, 2002.10 <SCI>

  • Domestic Conference

  • 김재경, 조윤호, "A Personalized Recommendation methodology using web usage mining and decision tree induction"한국지능정보시스템학회 춘계공동학술논문집, pp.342-351, 2002.5


Interantional Conference

  • Hee Seok Song, Soung Hie Kim, Jae Kyoung Kim, "A Post-Analysis of Decision Tree to Detect the Change of Customer Behavior on Internet Shopping Mall", PAIS (The Pacific Asia Conference on Intelligent Systems) 2001, Seoul, pp.456-463, 2001.11.16-17

Domestic Journal

  • 홍한국, 김재경, "Evaluating Efficiency of Life Insurance Companies Utilizing DEA and Machine Learning", 한국지능정보시스템학회논문지, Vol.7, No.1, pp.63-80, 2001.06


Domestic Conference

  • 홍한국, 김재경, "Evaluating Efficiency of Life Insurance Companies Utilizing DEA and Machine Learning,"한국지능정보시스템학회 00춘계학술대회논문집, pp.365-373, 2000.6


Internatioanl Journal

  • Jae Kyeong Kim, Jae Kwang Lee, Soung Hie Kim, "An Interactive Approach to Build an Influence Diagram Based on Neural Networks", Journal of Decision Systems, Vol. 8, No.2, pp.1-17, 1999. 5

  • Domestic Conference

  • 김재경, 이재광, 박경삼, "Neural Network-based Decision Class Analysis with Incomplete Information,"한국지능정보시스템학회/한국데이타베이스학회 99춘계공동학술대회논문집, pp. 281-287, 1999.6


Interantional Conference

  • Jae Kyeong Kim, Seok chin Chu, "Analyzing a Class of Decision Problems: Neural Network-Based Approach", Proceedings of the HICSS-31 (Hawaii International Conference on System Sciences), Howaii, Vol.5, pp.36-43, 1998.1.6-9

  • Jae Kyoung Kim, Seok chin Chu, "Sensitivity Analysis in the Decision Class Analysis Using Neural Networks", Proceedings of the 4th World Congress on Expert Systems, Mexico City, pp.874-879, 1998.3.16-20

Domestic Conference

  • 이재광, 김재경, 한창희, 김성희, "Building a Decision Analysis Model using Neural-Network Based Decision Class Analysis,"대한산업공학회/한국경영과학회 98춘계공동학술대회논문집, 1998


Internatioanl Journal

  • Jae Kyeong Kim, Kyung Sam Park, "Modeling a Class of Decision Problems Using Artificial Neural Networks", Expert Systems With Applications, Vol. 12, No. 2, pp.195-208, 1997.5 <SCI>

  • Jae Kyeong Kim, Hyung Sam Park, "Neural network-based decision class analysis for building a topological-level influence diagram", International Journal of Human-Computer Studies (International Journal of Man-Machine Studies) Vol.47, No.4, pp.513-530, 1997.5 <SCI>


Interantional Conference

  • Soung Hie Kim, Hyung Sam Park, Jae Kyoung Kim, "An Artificial Neural Network Approach to the Decision Class Analysis", 93 Korean/Japan Joint Conference on Expert Systems, Seoul, pp.717-729, 1993.2.2-5