Refaay Ahmed Zidan <br/><br/>
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 
<br/><br/>Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Sciences 
<br/><br/> 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 
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<br/><br/><label>Subjects--Index Terms: </label>Associative Classification  CBA  Classification Based on association rules