A2 Tananyag | Informatikai Kar

Case Studies in Data Mining

Szerzők

• Ispány Márton, Jeszenszky Péter, Fülöp András

Terjedelem

• 280.000 leütés

Digitális elemek

• 200 kép, 70 animáció

Tartalom

Data Mining Tools; Data Sources; Preprocessing; Classification Methods I: Decision Trees; Classification Methods II: Rule-Based Classifiers; Classification Methods III: Regression; Classification Methods IV: Artificial Neural Networks and SVM; Classification Methods V: Ensemble Methods; Association Rules I: The Apriori Algorithm; Association Rules II: Advanced Methods; Clustering I: Traditional Methods; Clustering II: Advanced Methods; Anomaly Detection; Comparison of Methods.

Kurzus

PTI MSc, GI MSc: Adatbányászati alkalmazások