A proposed technique to build a classifier for insurance industry /
Refaay Ahmed Zidan
A proposed technique to build a classifier for insurance industry / أسلوب مقترح لبناء مصنف لصناعة التأمين Refaay Ahmed Zidan ; Supervised Ghazal A. Ghazal , Bahaa Helmi , Mervat H. Gheith - Cairo : Refaay Ahmed Zidan , 2010 - 181Leaves : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Sciences
Insurance databases continue to grow very fast . This large amount of stored data contains valuable hidden knowledge . We can use this data to predict models representing the behavior of potential and current customers to improve the decision making process of insurance . Associative Classification combines association rule ming and classification to form an accurate classifier
Associative Classification CBA Classification Based on association rules
A proposed technique to build a classifier for insurance industry / أسلوب مقترح لبناء مصنف لصناعة التأمين Refaay Ahmed Zidan ; Supervised Ghazal A. Ghazal , Bahaa Helmi , Mervat H. Gheith - Cairo : Refaay Ahmed Zidan , 2010 - 181Leaves : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Sciences
Insurance databases continue to grow very fast . This large amount of stored data contains valuable hidden knowledge . We can use this data to predict models representing the behavior of potential and current customers to improve the decision making process of insurance . Associative Classification combines association rule ming and classification to form an accurate classifier
Associative Classification CBA Classification Based on association rules