چکیده مقاله
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
کلیدواژهها
نویسندگان
A Aminpour
Department of Industrial Engineering, Eyvanekey University, Eyvanekey,Semnan province,Iran,
M Rabiei
Department of Industrial Engineering, Eyvanekey University, Eyvanekey,Semnan province,Iran,
شیوه ارجاع
Aminpour, A and Rabiei, M,1402,Data Mining and Decision Support System InInsurance Industry,30th National and 11th International Conference on Insurance and Development (ICID 2023) The Evolution of Insurance Industry Ecosystem (Takaful, Governance, Modern Technologies),Tehran
ارائهشده در
مجموعه مقالات 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»12 آذر 1402 · تهران