Data Mining and Decision Support System InInsurance Industry

سال انتشار: 1402
محل انتشار: سی امین همایش ملی و یازدهمین همایش بین المللی بیمه و توسعه با موضوع تکامل زیست بوم صنعت بیمه «تکافل، حکمرانی و فناوری های نوین»
کد COI اختصاصی: INSDEV30_161
زبان مقاله: انگلیسی
تعداد مشاهده: 125

نویسندگان

Department of Industrial Engineering, Eyvanekey University, Eyvanekey,Semnan province,Iran,

چکیده

In recent years, the insurance industry has grown significantlyand various companies have entered to this field with various services.Successful marketing is one of the main goals of insurance companies.Finding people who are likely to use insurance services is veryimportant and leads to better cost management. The main goal of thisresearch is to use available data to design an intelligent decision supportsystem for predicting the shopping basket of customers of an insurancecompany in Iran and adopt appropriate marketing strategies to sellservices by predicting customers' shopping basket. To achieve this goal,for the first time in Iran's insurance industry, four different machinelearning algorithms have been used in the field of text and audio data.The designed decision support system is formed by combining thefindings of the text mining, sound mining, and image mining stages anda list of variables which is the demographic information of thecustomers. The results of this research demonstrate that using decisionsupport system can help insurance companies to find their potentialcustomers and invest in those people to sell their services. In this way,they can reduce their costs, including marketing and advertising costs

کلیدواژه ها

Intelligent decision support system, Data mining, Customershopping basket, Machine learning.

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