Statistical Learning Theory: Data Mining Workshop (SCAI99S)

1999년 1학기


논문선택: 아래의 내용중 각자 발표할 부분을 결정한 후, 이종우 조교 에게 논문 번호를 알려 주세요.
발표자 제목 페이지 발표자료 발표일
김상수 Chap. 1: Introduction to Data Mining p.3 ~ 22 ppt 3.19
박찬진 Chap. 2: Introduction to Neural Networks p.23 ~ 42 ppt 3.19
석호식 Chap. 3: Data Preparation p.43 ~ 60 ppt 3.19
곽노준 Chap. 4: Neural Network Models and Architectures p.61 ~ 80 ppt 3.19
이상진 Chap. 5: Training and Testing Neural Networks p.81 ~ 98 ppt 3.19
오장민 Chap. 6: Analyzing Neural Networks for Decision Support p.99 ~ 108 ppt 3.19
이병정 Chap. 7: Deploying Neural Network Applications p.109 ~ 114 ppt 3.26
정소영 Chap. 8: Intelligent Agents and Automated Data Mining p.115 ~ 128 ppt 3.26
김인영 Chap. 9: Market Segmentation p.131 ~ 142 ppt 3.26
송재순 Chap. 10: Real Estate Pricing Model p.143 ~ 154 ppt 3.26
엄재홍 Chap. 11: Customer Ranking Model p.155 ~ 166 ppt 3.26
이시은 Chap. 12: Sales Forecasting p.167 ~ 178 ppt 3.26


발표자 제목 페이지 발표자료 발표일
한상윤 Chap. 1: What is Data Mining? p.1 ~ 24 ppt 5.14
신형주 Chap. 2: Statistical Evaluation for Big Data p.25 ~ 50 ppt 5.14
서영우 Chap. 3: Preparing the Data p.51 ~ 80 ppt 5.14
송상옥 Chap. 4: Data Reduction p.81 ~ 118 ppt 5.21
김 선 Chap. 5: Looking for Solutions p.119 ~ 152 ppt 5.21
황규백 Chap. 6: What's Best for Data Reduction and Mining? p.153 ~ 188 ppt 5.21


인공지능연구실 451호로 와서 발표자료 찾아가시기 바랍니다.

발표자 제목 페이지 발표자료 발표일
 
Chap. 1: A Review of Machine Learning Methods p. 3 ~ 70 ppt
 
정신호 Chap. 2: Data Mining and Knowledge Discovery : A Review of Issues and a Multistrategy Approach p. 71 ~ 112 ppt
 
김주관 Chap. 3: Fielded Application of Machine Learning p. 113 ~ 130 ppt
 
류정우 Chap. 4: Application of Inductive Logic Programming p. 131 ~ 144 ppt
 
 
Chap. 5: Application of Machine Learning in Finite Element Computation p. 147 ~ 172 ppt
 
신수용 Chap. 6: Application of Inductive Learning and Case-Based Reasoning for Troubleshooting Industrial Machines p. 173 ~ 184 ppt
 
 
Chap. 7: Empirical Assembly Sequence Plannig : A Multistrategy Constructive Learning Approach p. 185 ~ 202 ppt
 
허원창 Chap. 8: Inductive Learning in Design : A Method and Case Study Concerning Design of Antifriction Bearing Systems p. 203 ~ 220 ppt
 
김유환 Chap. 9: Finding Associations in Collections of Text p. 223 ~ 240 ppt
 
이재영 Chap. 10: Learning Patterns in Images p. 241 ~ 268 ppt
 
이인복 Chap. 11: Applications of Machine Learning to Music Research : Empirical Investigations into the Phenomenon of Musical Expression p. 269 ~ 294 ppt
 
김정집 Chap. 12: WebWatcher : A Learning Apprentice for the World Wide Web p. 297 ~ 312 ppt
 
박상욱 Chap. 13: Biologically Inspired Defences Against Computer Viruses p. 313 ~ 334 ppt
 
송창빈 Chap. 14: Behavioural Cloning of Control Skil p. 335 ~ 352 ppt
 
권용식 Chap. 15: Acquiring First-order Knowledge About Air Traffic Control p. 353 ~ 386 ppt
 
김석준 Chap. 16: Application of Machine Learning to Medical Diagnosis p. 389 ~ 408 ppt
 
하선영 Chap. 17: Learning to Classify Biomedical Signals p. 409 ~ 428 ppt
 
조동연 Chap. 18: Machine Learning Applications in Biological Classifications of River Water Quality p. 429 ~ 448 ppt