머신러닝 및 데이터마이닝 연구실 (Machine Learning & Data Mining Lab)

연구실 소개

 Welcome to the Data Mining Lab at Ajou university. Data sets with millions of records and thousands of fields are increasingly common in business, engineering, medicine, and the sciences. With the amount of data doubling every few years the problem of uncovering hidden patterns or extracting useful information from such data sets is becoming an important practical issue. Research on this topic focuses on key questions such as how can one build useful models which both allow us to make predictions and also aid us to figure out the underlying process of the data generation. Research projects in our lab use theories and techniques from the intersection of computer science, statistics, and mathematics, including foundational ideas from algorithmsartificial intelligencemultivariate data analysis, Bayesian estimation, and computational statistics (from statistics), and optimization and probability theory (from mathematics). Machine learning and pattern recognition, in particular, are central to our research, providing both a sound theoretical basis and a practical framework for developing useful data analysis algorithms. 
Research activities in our lab range across areas as different as hospital fraud detection, direct marketing in CRM, oil price prediction, protein function prediction in bioinformatics, etc. We hope you find our web-site useful and encourage you to explore its contents (publications, courses, seminars, and other information).

데이터마이닝연구실 / Data Mining Lab

구분	내 용
지도교수	신현정(Hyunjung Shin)
위치	팔달관(Paldal Hall) #822
전화번호	031-219-1866
홈페이지	http://www.alphaminers.net/
담당자 / 이메일	남용현(Yonghyun Nam)/ namyh123@ajou.ac.kr

주요 프로젝트

• 프로젝트명 : Translational Bioinformatics for Genomic Health and Molecular Medicine
• 기간 : 2010-09-01 ~ 2017-02-28
• 주관 : The Korea Research Foundation Grant funded by the Korean Government (MOEHRD, NCRC)
• 연구내용 : 맞춤, 예측의학 실현을 위한 바이오 유전체 정보의학 통합

• 프로젝트명 : Energy Demand and Price Prediction for District Heating Model using Data Mining Techniques
• 기간 : 2010-05-01 ~ 2011-02-28
• 주관 : The Korea Energy Economics Institute(KEEI)
• 연구내용 : 지역난방모형의 수요 및 가격 분석모듈 구조 개발:데이터마이닝 분석모듈

• 프로젝트명 : Hierarchical Network based Economic and Financial Time Series Prediction
• 기간 : 2010-05-01 ~ 2013-04-30
• 주관 : The Korea Research Foundation Grant funded by the Korean Government (MOEHRD)
• 연구내용 : 계층 네트워크 기반 경제 및 금융 시계열 예측

• 프로젝트명 : Medical Fraud and Abuse Pattern Detection Algorithm Development
• 기간 : 2009-05-01 ~ 2012-04-30
• 주관 : The Korea Research Foundation Grant funded by the Korean Government (MOEHRD)
• 연구내용 : 의료 사기⋅ 부정 패턴 탐지를 위한 방법론 및 알고리즘 개발

• 프로젝트명 : Prediction with Directed Networks
• 기간 : 2008-07-01 ~ 2009-06-30
• 주관 : The Korea Research Foundation Grant funded by the Korean Government (MOEHRD)
• 연구내용 : 방향성 네트워크를 이용한 예측 알고리즘 개발

• 프로젝트명 : Oil Price Early Warning System
• 기간 : 2008-09-01 ~ 2009-02-28
• 주관 : The Korea Energy Economics Institute(KEEI)
• 연구내용 : 국제석유시장평가 모형 및 운영

• 프로젝트명 : Medical Fee Review &Assessment based on Hospital Profiling Data
• 기간 : 2008-01-01 ~ 2008-08-31
• 주관 : The Health Insurance Review &Assessment Service(HIRA)
• 연구내용 : 요양기관 종합정보(profiling)을 활용한 종합관리 중재대상기관 선정방안에 대한 연구

• 프로젝트명 : iDMS: Intelligent Digital Manufacturing System
• 기간 : 2007-03-01 ~ 2013-02-28
• 주관 : The grant for Post Brain Korea 21 National Project National Project National Project
• 연구내용 : 지능형 디지털 제조 시스템

• 프로젝트명 : Graph-based Multiple Data Integration
• 기간 : 2006-03-01 ~ 2008-02-29
• 주관 : The Ajou University
• 연구내용 : 데이터 통합 방법에 관한 연구

• 프로젝트명 : Protein Functional Class Prediction: Multiple Data Integration and Importance Ranking
• 기간 : 2006-05-01 ~ 2007-04-30
• 주관 : The Korea Research Foundation Grant funded by the Korean Government (MOEHRD)
• 연구내용 : 단백질 기능 예측 알고리즘 개발: 복수 데이터 통합 방법 및 중요도 순위 산정에 관한 연구 테이블 스타일