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권영식명예교수
  • 연락처
    02-2260-3503
  • E-mail
    yskwon@dongguk.edu
  • 최종 학력
    KAIST 공학박사
  • 전공 분야
    Machine Learning/Data Mining, 데이터사이언스, Business Analytics
  • 세부 연구분야
    · Machine Learning

    · Data Mining

    · Business Analytics
  • 학사학위 과정
    서울대학교 공학사(산업공학)
  • 석사학위 과정
    KAIST 공학석사
  • 박사학위 과정
    KAIST 공학박사
  • 대표 논문
    Analyzing Customer Behaviour from Shopping Path Data Using Operation Edit Distance, Applied Intelligence, the Int'Journal of Artificial Intelligence, Neural Networks and Complex Problem-Solving Technologies, Vol.48, No.8, Aug. 2018, Springer
    Emotion Recognition from Text using Deep Neural Networks, The Kore Industrial Engineering Society, Spring Conference, April 1, 2018
    Emotion Recognition with Pairwise Risks, Seoul, The Korea Data Mining Society, Spring Conference, Seoul, April 4, 2018
    Customer Purchasing Behavior Analysis as Alternatives for Supporting in-Store Green Marketing Decision Making, Journal of Substantiality, Vol.9, No.11, Nov.2017
    Development of Long Short Term Memory for detecting Human Emotion in dialogue, Korea BI/Data Mining Society, Fall Conference, November, 2017
    Development of Deep Learning Models for Multi-class Sentiment Analysis, KIIE, Fall Conference, 2017
    Deep Learning Models for Classifying the Emotion Antecedent and Responses in Chatbot, KITS Fall Conference, Nov. 2017
    A Practical Approach to Shopping Path Clustering, Current Approaches in Applied Artificial Intelligence, Lecture Note in Artificial Intelligence, 9101, June, 2015, Springer.
    A Sequence Pattern Matching approach to Shopping Path Clustering, Proceedings of the Int'Conference on Industrial Engineering and Operations Management, Istanbul, Turkey, July 2012.
    A New Approach to Spatial Pattern Clustering based on Longest Common Subsequence with applications to a grocery, IE Interface, Dec. 2011
    Shoppers' Moving Path Analysis in a Grocery using RFID data, Proceedings of the Int'Conference on Robust Statistics, June 2011, Valladolid, Spain.
    Determinants of External Technology Acquisition, 2011, IAENG Int' Conference on Industrial Engineering, Hong Kong, March 2011.
    Shopping Path Pattern Analysis in a Grocery, Int'Conference on Challenges in Statistics and Operations Research, March 2011, Kuwait University, Kuwait.
    Development of the Intelligent Grocery Analysis systems(i-GAS) for enhancing the Grocery Service Operation, Proceedings in the Int'Conference on Logistics and Transport, Dec. 2010, Queenstown, New Zealand
    Committee Learning Classifier based on Attribute Value Frequency, KIISE, Vol 37. No 4, August 2010
    A Practical Approach to Bankruptcy Prediction for Small Business: Substituting the Unavailable Financial Data for Credit card Sales Information, Vol.37, No.5, Expert Systems with Applications, May 2010
조성구명예교수
  • 연락처
    -
  • E-mail
    -
  • 최종 학력
    프랑스 Aix-Marseille II
  • 전공 분야
    연구분야 산업공학