Data Mining Term

 

±ºÁýÈ­ (Clustering)

±â°èÇнÀ (Machine Learning)

´ÙÃþ ÆÛ¼ÁÆ®·Ð (Multilayer Perceptron)
    

µ¥ÀÌÅÍ (Data)

µ¥ÀÌÅÍ ¿þ¾îÇϿ콺 (Data Warehouse)

µ¥ÀÌÅ͸¶ÀÌ´× (Data Mining)

µ¥ÀÌÅͺ£À̽º Áö½Ä Ž»ç (Knowledge Discovery in Databases)

µ¿½Ã¹ß»ý Çà·Ä (Co-Occurrence Matrix)

·¹À̵ð¾ó º£À̽ýº ÇÔ¼ö ³×Æ®¿÷ (radial-basis function network),

ºÐ·ùȸ±âºÐ¼®³ª¹« ¸ðÇü (Classification and Regression Tree: CART)

ºò µ¥ÀÌÅÍ (Big Data)

¼±Çü /ºñ¼±Çü ÁÖ¼ººÐ ºÐ¼® (linear/nonlinear PCA)

¼ø¼­ºÐ¼® ¾Ë°í¸®Áò

½Å°æ¸Á (Neural Network)

¿¬°ü ±ÔÄ¢ ¹ß°ß ¾Ë°í¸®Áò (¡°A priori¡±)

À¯Àü¾Ë°í¸®Áò (Genetic Algorithm)

ÀÇ»ç°áÁ¤ Æ®¸® (Decision Tree)

ÀΰøÁö´É (Artificial Intelligence)

ÀÚ±âÁ¶Á÷È­ ¸Ê (Self-Organizing Map)

ÀÚÀ²Çâ»ó (Bootstrapping)

ÀÚÀ²ÇнÀ (Unsupervised Learning)

Áö½Ä (Knowledge)

ÃÖ±Ù¸° ºÐ·ù (Nearest Neighbour Classification)

Åë°è (Statistics)

ÆǺ°ºÐ¼® (discriminant analysis)

ÆÐÅÏ ÀÎ½Ä (Pattern Recognition)

ȸ±ÍºÐ¼® (Regression Analysis)

ACM SIGKDD (special interest group on knowledge discovery in database)

C4.5 ³ª¹« ¸ðÇü

IBM : Intelligent Miner

K-ÃÖ±Ù¸° ºÐ·ù (K-Nearest Neighbor Classification)

K-Æò±Õ ±ºÁýÈ­ ¾Ë°í¸®Áò (K-means Clustering Algorithm)

Neuro Dimension : NeuroSolutions

OLAP (On-Line Analytical Processing)

Rulequestȍ : See5

SAS : Enterprise Miner

SPSS : Clementine

William Inmon