This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...

In this paper we argue that data mining can make a significant contribution to knowledge management initiatives. We use two studies to show how data mining can make the difference during the knowledge management process. First, we describe how data mining was used as part of the knowledge management initiative in a major Portuguese telecommunications company. We demonstrate how implementation o...

Introduction: In order to achieve sustainable development in mining, waste management is an essential requirement. The current study aimed to examine industrial solid waste produced in Golgohar Mining and Industrial Company, which is a well-known iron ore extraction and processing complex. Materials and Methods: This cross-sectional study was conducted in two phases from March, 2016 through Ma...

purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. the attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. design/ methodology/ approach: the approach of this research is to use data mining tools...

Text mining and machine learning methodologies have been applied toward knowledge discovery in several domains, such as biomedicine and business. Interestingly, in the business domain, the text mining and machine learning community has minimally explored company annual reports with their mandatory disclosures. In this study, we explore the question “How can annual reports be used to predict cha...

Purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. The attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. Design/ methodology/ approach: the approach of this research is to use data mining tools...