| 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 |
|---|
|
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 |
|