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    Survey on the Effectiveness of Promotional and Communication Strategies Adopted by Financial Services

    , M.Sc. Thesis Sharif University of Technology Sadeh, Farhad (Author) ; Birjandi, Heshmat (Supervisor)
    Abstract
    High volume domestic and international trade and business and their risks, force companies and business people to use financial services such as banks and insurance companies much more than ever, but heavy competition in this industry impel financial service managers to work hard on their marketing strategies and plans. Promotion and communication tools are one of the most important parts of each marketing campaign, but they are usually very costly and marketing managers have to find and use more effective techniques to manage their budget limitation. The purpose of this thesis is to find out the most important promotional and communication strategies in financial services industry and to... 

    A Framework to Select the Appropriate Combination of Retrofit and Insurance in Order to Reduce Earthquake Losses

    , M.Sc. Thesis Sharif University of Technology Khalifeloo, Mohammad (Author) ; Haj Kazem Kashani, Hamed (Supervisor)
    Abstract
    The aim of this research is presentation of A framework to select the appropriate combination of retrofit and insurance in order to reduce earthquake losses. The vulnerability of buildings to earthquakes can lead to significant damage to owners and residents of these buildings. It is imperative that appropriate measures be taken to reduce these adverse effects before the risk occurs. Some of these measures, such as seismic retrofit of buildings, can reduce the vulnerability of buildings and, consequently, financial and human losses. Some other measures like insurance, in the event of an earthquake, can reduce the financial losses incurred by owners and residents of vulnerable buildings.... 

    Using Data Mining in Customer Relationship Management (Case Study of the Insurance Industry)

    , M.Sc. Thesis Sharif University of Technology Khalilpour Darzi, Mohammad Rasoul (Author) ; Akhavan Niaki, Taghi (Supervisor) ; Khedmati, Majid (Co-Supervisor)
    Abstract
    This paper presents some approaches based on data mining techniques to solve the prediction task of Computational Intelligence and Learning (CoIL) Challenge 2000. The prediction task of the contest is a direct mailing problem and the goal is to improve its response rate. The main issue in this competition is the incompatibility of the dataset in which the distribution of the classes of the target attribute is highly unbalanced. This in turn causes high error rate in identifying the minority class samples. Three different level methods including data-level, algorithm-level, and hybrid method are used to overcome this issue. The specificity and sensitivity criteria are employed to compare the...