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Lim, Chiehyeon (임치현)

Department: Department of Industrial Engineering(산업공학과)

Website: http://service.unist.ac.kr/

Lab: Service Engineering & Knowledge Discovery Lab. (서비스 엔지니어링 및 지식 디스커버리 연구실)

Research Keywords: 서비스 엔지니어링, 지식 디스커버리, Service Engineering, Knowledge Discovery

Research Interests: 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 design2. Knowledge Discovery- Text mining- Bio and health data mining- Behavioral data mining- Clustering method development- Featuring method development

This table browses all dspace content
Issue Date	Title	Author(s)	Type	View	Altmetrics
2023-09	MMP Net: A feedforward neural network model with sequential inputs for representing continuous multistage manufacturing processes without intermediate outputs	Cho, Hojin; Kim, Kyeongbin; Yoon, Kihyuk, et al	ARTICLE	22	MMP Net: A feedforward neural network model with sequential inputs for representing continuous multistage manufacturing processes without intermediate outputs
2023-06	Chemistry-informed machine learning: Using chemical property features to improve gas classification performance	Kim, Yeram; Lim, Chiehyeon; Lee, Junghye, et al	ARTICLE	569	Chemistry-informed machine learning: Using chemical property features to improve gas classification performance
2023-06	From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product-service systems in Industry 4.0	Kim, Minjun; Lim, Chiehyeon; Hsuan, Juliana	ARTICLE	368	From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product-service systems in Industry 4.0
2022-12	Challenges of diet planning for children using artificial intelligence	Lee, Changhun; Kim, Soohyeok; Kim, Jayun, et al	ARTICLE	806	Challenges of diet planning for children using artificial intelligence
2022-11	Driving Risk Assessment Using Non-Negative Matrix Factorization With Driving Behavior Records	Seo, Hyunwoo; Shin, Jongkyung; Kim, Ki-Hun, et al	ARTICLE	979	Driving Risk Assessment Using Non-Negative Matrix Factorization With Driving Behavior Records
2022-06	Multichannel convolution neural network for gas mixture classification	Oh, YongKyung; Lim, Chiehyeon; Lee, Junghye, et al	ARTICLE	999	Multichannel convolution neural network for gas mixture classification
2022-03	Risk score-embedded deep learning for biological age estimation: Development and validation	Kim, Suhyeon; Kim, Hangyeol; Lee, Eun-Sol, et al	ARTICLE	726	Risk score-embedded deep learning for biological age estimation: Development and validation
2021-12	스마트시티에 대한 통합적 이해의 시도: 인간과 기계의 협업	임치현; 김광재	ARTICLE	659
2021-09	Understanding the linkages of smart-city technologies and applications: Key lessons from a text mining approach and a call for future research	Lim, Chiehyeon; Cho, Gi-Hyoug; Kim, Jeongseob	ARTICLE	672	Understanding the linkages of smart-city technologies and applications: Key lessons from a text mining approach and a call for future research
2021-08	Customer complaints monitoring with customer review data analytics: An integrated method of sentiment and statistical process control analyses	Kim, Juram; Lim, Chiehyeon	ARTICLE	518	Customer complaints monitoring with customer review data analytics: An integrated method of sentiment and statistical process control analyses
2021-06	From technological development to social advance: A review of Industry 4.0 through machine learning	Lee, Changhun; Lim, Chiehyeon	ARTICLE	1447	From technological development to social advance: A review of Industry 4.0 through machine learning
2020-05	Development of a service blueprint for the online-to-offline integration in service	Ryu, Do-Hhyeon; Lim, Chiehyeon; Kim, Kwang-Jae	ARTICLE	813	Development of a service blueprint for the online-to-offline integration in service
2020-04	FINTECH: RESEARCH DIRECTIONS TO EXPLORE THE DIGITAL TRANSFORMATION OF FINANCIAL SERVICE SYSTEMS	Breidbach, Christoph; Keating, Byron; Lim, Chiehyeon	ARTICLE	850	FINTECH: RESEARCH DIRECTIONS TO EXPLORE THE DIGITAL TRANSFORMATION OF FINANCIAL SERVICE SYSTEMS
2019-03	Multi-factor service design: identification and consideration of multiple factors of the service in its design process	Lim, Chiehyeon; Kim, Ki-Hun; Kim, Min-Jun, et al	ARTICLE	1348	Multi-factor service design: identification and consideration of multiple factors of the service in its design process
2019-01	Customer process management A framework for using customer-related data to create customer value	Lim, Chiehyeon; Kim, Min-Jun; Kim, Ki-Hun, et al	ARTICLE	1035	Customer process management A framework for using customer-related data to create customer value
2018-12	Smart cities with big data: Reference models, challenges, and considerations	Lim, Chiehyeon; Kim, Kwang-Jae; Maglio, Paul P.	ARTICLE	1313	Smart cities with big data: Reference models, challenges, and considerations
2018-12	Development of a Lifelogs-Based Daily Wellness Score to Advance a Smart Wellness Service	Kim, Ki-Hun; Kim, Kwang-Jae; Lim, Chiehyeon, et al	ARTICLE	1358	Development of a Lifelogs-Based Daily Wellness Score to Advance a Smart Wellness Service
2018-12	A DATA-DRIVEN APPROACH TO DESIGNING NEW SERVICES FOR VEHICLE OPERATIONS MANAGEMENT	Kim, Min-Jun; Lim, Chiehyeon; Kim, Kwang-Jae	ARTICLE	945
2018-12	A customer-oriented model of product-service system lifecycle	Heo, Jun-Yeon; Lim, Chiehyeon; Kim, Kwang-Jae	ARTICLE	595	A customer-oriented model of product-service system lifecycle
2018-11	Experience Design Board: A tool for visualizing and designing experience-centric service delivery processes	Lim, Chiehyeon; Kim, Kwangjae	ARTICLE	1083	Experience Design Board: A tool for visualizing and designing experience-centric service delivery processes

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