الفهرس 
Introduction
The evolution of data miningOnly 14 pages are availabe for public view
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Abstract
Data mining (DM) has various applications for customer relationship management. This thesis introduces a framework for identifying appropriate data mining techniques for various Customer Relationship Management (CRM) activities. Information Technology (IT) attempts to integrate the data mining and CRM models to produce a new model of Data mining for CRM. This new model specifies which types of data mining processes are suitable for different stages/processes of CRM. In -#111;-#114;-#100;-#101;-#114; to develop an integrated model, it is important to understand the existing Data mining and CRM models. Hence this thesis discusses some of the existing data mining techniques and CRM models and finally proposes an integrated model of data mining for CRM. In this thesis, a proposed model integrates various techniques to achieve high level of accuracy, such techniques are Neural Networks, Encryption methods and biological smart tokens is applying DM techniques for CRM to improve the passport system in Egypt in -#111;-#114;-#100;-#101;-#114; to reduce faults, avoid any forgery and reduce the pressure that citizen suffers. We can evaluate the results of the used techniques to be as the following: (A) Encryption method (Data Encryption Standards (DES)) had shown very high accuracy approximately 100% success. (B) Neural Network simulator for face detection had shown high accuracy about 98 % success.