A proposed technique to build a classifier for insurance industry / Refaay Ahmed Zidan ; Supervised Ghazal A. Ghazal , Bahaa Helmi , Mervat H. Gheith

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Refaay Ahmed Zidan

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TextLanguage: eng Publication details: Cairo : Refaay Ahmed Zidan , 2010Description: 181Leaves : charts ; 30cmOther title:

أسلوب مقترح لبناء مصنف لصناعة التأمين [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Sciences Summary: 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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Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.18.02.M.Sc.2010.Re.P (Browse shelf(Opens below))		Not for loan	01010110053044000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.18.02.M.Sc.2010.Re.P (Browse shelf(Opens below))	53044.CD	Not for loan	01020110053044000

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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

Issued also as CD

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