Elham Hamed Monfared - Senior Expert of Data Bases Monitoring, Data Mining and BI Group in EN Bank of Iran, ENBank, Tehran, Iran
Mahbobeh Khajvandi - Deputy Head of Data Bases Monitoring, Data Mining and BI Group in EN Bank of Iran, ENBank, Tehran, Iran
Ali Hadi - PhD candidate of applied mathematics Islamic Azad University, Science and Research Branch, Tehran, Iran
Hamid Parsazade - Senior Expert of Data Bases Monitoring, Data Mining and BI Group in EN Bank of Iran, ENBank, Tehran, Iran
Mostafa Seraj - PhD candidate of Finance ,Tehran University Management School

In this paper we apply data mining tools and statistical methods to reveal hidden patterns in personnel s attitudes at any organization like banks, chain markets and restaurants with two separate sections: line and staff. We will propose an analytical strategy to recognize noticeable strengths and weaknesses which can affect human resource (HR) factors such as satisfaction and personnel s commitment. Focusing on these facets of HR literature, we will follow a problem discovering strategy based upon data mining techniques and will excavate behavioral rules beneath the current culture in these separate sections of organization thereby will let improve the quality of offered services at this organization through applying adequate remedial strategies for lighted on weaknesses and supporting attitudes for introduced strengths. Eventually, this method will be examined at a bank in Iran entitled: ENBank based upon ۲۴۰۷ filled questionnaire by its personnel.

Human Resource, Organizational commitment, Data mining, Principle Component Analysis (PCA), Association rules Analysis