Process Mining
Data Analytics Laboratory conducts a variety of research for process mining, which aims to extract process-oriented knowledge from event logs collected by information systems. This includes various techniques, including process discovery, conformance checking, predictive process monitoring, and others. Our laboratory develops novel methods for process mining and industrial applications in diverse domains, including healthcare, education, manufacturing, finance, and others.
Process discovery
Conformance Checking
Performance Analysis
Predictive Process Monitoring
Sensor-based Process Mining
Multi-modal Process Mining
Event Abstraction
Process Simulation
Process Mining in Healthcare
Process Mining in Education
Process Mining in Manufacturing
Process Mining Applications
Text Mining
Data Analytics Laboratory conducts a variety of research for text mining, which aims to investigate valuable information and knowledge from large volumes of text data. This includes various techniques, including text classification, sentiment analysis, topic modeling, LLM-based approaches, and others. Our laboratory resolves industry challenges using text mining techniques and develops novel methods to bridge the gap between NLP and other domains.
Language Models
Natural Language Processing
Text Categorization
Text Clustering and Topic Modeling
Technological Forecasting with Text Mining
Literature Reviews with Text Mining
Text Mining Applications
NLP structures with other domains
Research Projects
듀얼 프로세스 이론 기반 온라인 리뷰의 유용성 실증 연구: 구조방정식 모델링 및 설명 가능한 인공지능을 통한 접근, 2024. 06 ~ 2025. 05, 한국연구재단
센서 기반 라이프로그 데이터를 활용한 인공지능 및 프로세스 마이닝 적용 방법 개발 연구, 2024. 03 ~ 2025. 02, 광운대학교
공통 데이터 모델 및 딥러닝을 활용한 의료형 객체 중심 프로세스 마이닝 개발 연구, 2021. 09 ~ 2024. 02, 한국연구재단
지능형 로봇을 위한 기초수학 분야의 학습 패턴 분석 및 교육 개선안 도출 : 데이터 애널리틱스 활용 사례 연구, 2021. 09 ~ 2022. 02, 한양대학교 산학협력단
프로세스 마이닝 기반의 다분야 유즈케이스 도출, 2021. 03 ~ 2023. 02, 광운대학교
