Service Engineering & Knowledge Discovery

서비스 지식 연구실

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서비스 지식 연구실

산업과 사회의 서비스 문제를 해결하고 Knowledge Discovery 방법을 개발합니다.
1. 서비스 엔지니어링
-서비스 인텔리전스 개발
-추천 시스템 개발
-서비스 품질 및 효율성 분석
-서비스 개선 및 최적화
-서비스 시스템 모델링 및 설계
2. Knowledge Discovery
-텍스트 마이닝
-바이오 및 건강 데이터 마이닝
-행동 데이터 마이닝
-클러스터링 방식 개발
-기능 개발
We solve service problems in industries and develop knowledge discovery methods.
1. Service Engineering
- Service intelligence development
- Recommendation system development
- Service quality and efficiency analysis
- Service improvement and optimization
- Service system modeling and design
2. Knowledge Discovery
- Text mining
- Bio and health data mining
- Behavioral data mining
- Clustering method development
- Featuring method development

관심분야

We solve service problems in industry/society and develop knowledge discovery methods.

희망분야

We solve service problems in industry/society and develop knowledge discovery methods.

Research Keywords and Topics

서비스 엔지니어링, Knowledge Discovery

Research Publications
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Lee, C., Kim, S., Lim, C., Kim, J., Kim, Y. and Jung, M., "Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement," 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 14 - 18, 2021.
Lee, C. and Lim, C., "From Technological Development to Social Advance: A Review of Industry 4.0 through Machine Learning," Technological Forecasting & Social Change, Vol. 167, 120653, 2021.
Lim, C., Kim, M., Kim, K., Kim, K. and Maglio, P., "Customer Process Management: A Framework for Using Customer-related Data to Create Customer Value," Journal of Service Management, Vol. 30, No. 1, 105-131, 2019.