Session |
¼¼ºÎ±³À°ÁÖÁ¦ |
±âº» °³³ä [1H] |
µ¥ÀÌÅÍ ºÐ¼® ±âº»°³³ä°ú ºÐ¼®°úÁ¤
|
- µ¥ÀÌÅÍ ¸¶ÀÌ´×ÀÇ ¹è°æ ¹× ¼Ò°³
- ¹®Á¦ÆÄ¾Ç ¹× ºÐ¼® ÁÖÁ¦ ¼³Á¤ |
±âÃʺм® ±â¹ý [4H] |
µ¥ÀÌÅÍ Àüó¸® ¹æ¹ý°ú
EDA
|
- ÀÚ·áÁغñ °úÁ¤
- data integration ¹× data cleaning
- °áÃøÄ¡ ó¸® ¹æ¹ý
- ÀÚ·áÀÇ Å½»ö
- ÀÌ»óÄ¡ Ž»ö ¹× ó¸® ¹æ¹ý
- dimension reduction (principal component analysis, variable clustering)
- Data Transformation/Á¤±ÔÈ
|
½Ç½À ¹× Åä·Ð [1H] |
SAS/Insight¿Í SAS Enterprise Miner¸¦ ÀÌ¿ëÇÑ ½Ç½À |
- Àüó¸® °úÁ¤ ½Ç½À
- ÀÌ»óÄ¡¿Í °áÃøÄ¡ ó¸®
- EDAÀÇ Çؼ®°ú 󸮹æ¹ý |
Session |
¼¼ºÎ±³À°ÁÖÁ¦ |
¸ðµ¨¸µ ±â¹ý[4H] |
Clustering Techniques
|
- clustering °³¿ä
- Basic Techniques Overview(hierarchical clustering, nonhierarchical clustering)
- hierarchical clustering
- nonhierarchical clustering (k-means, PAM)
- Clustering Issues & Tips
- °á°úÇؼ® ÇâÈÄ ÀÌ¿ë ¹æ¾È |
½Ç½À ¹× Åä·Ð [1H] |
SAS/STATÀ» ÀÌ¿ëÇÑ Clustering ½Ç½À
|
- ±×·¡ÇÁ¸¦ ÀÌ¿ëÇÑ clustering Ž»ö
- hierarchical°ú nonhierarchical clusteringÀÇ ¿¬°á
- cluster ¼ö °áÁ¤
- ClusteringÀ» ÀÌ¿ëÇÑ ¿¹Ãø ¸ðµ¨ ÆÄ»ý º¯¼ö »ý¼º
|
¸ðµ¨¸µ ±â¹ý [1H] |
Predictive Modeling Techniques |
- Modeling Algorithm °³°ü (Regression, Decision Tree, Neural Network, GAM µî)
- Predictive Modeling Issues & Tips |
Session |
¼¼ºÎ±³À°ÁÖÁ¦ |
¸ðµ¨¸µ ±â¹ý[3H] |
Predictive Modeling Techniques
|
- Decision tree
- GAM(Generalized additive model)
- regression
- ½Å°æ¸Á
- Ensemble Modeling (bagging)
- ¸ðµ¨ Æò°¡ ¹× Àû¿ë |
½Ç½À ¹× Åä·Ð [1H] |
SAS/STAT, SAS Enterprise Miner¸¦ ÀÌ¿ëÇÑ Predictive Modeling ½Ç½À
|
- Decision tree, GAM µîÀ» ÀÌ¿ëÇÑ º¯¼ö ¼±Åà ¹× ÆÄ»ýº¯¼ö »ý¼º
- baggingÀ» ÀÌ¿ëÇÑ º¯¼ö ¼±ÅÃ
- ¸ðµ¨ Æò°¡ ¹× Àû¿ë
|
¸ðµ¨¸µ ±â¹ý [1H] |
¿¬°üºÐ¼® |
- Basic Techniques Overview (Association Rules)
- Association Rules Issues & Tips
- Model Æò°¡ ¹× °á°úÇؼ® |
½Ç½À ¹×
Åä·Ð[1H] |
SAS Enterprise Miner¸¦
ÀÌ¿ëÇÑ ½Ç½À |
- Àå¹Ù±¸´Ï ºÐ¼® ¸ðµ¨¸µ/
Â÷¿øÀÇ Àû¿ë
- ±ÔÄ¢ ÇÁ·ÎÆÄÀϸµ
- ¼øÂ÷±¸¸ÅÆÐÅÏ ºÐ¼® ¸ðµ¨¸µ |