بررسي رفتار مشتري در تجارت الكترونيك به وسيله تكنيك هاي وب كاوي

Survey of customer behavior in e-commerce using web mining techniques

Web mining is the application of data mining technique to discover useful information from World Wide Web. The most important challenge of electronic commerce (E-commerce) is to understand as much as possible the customers’ wants, desires,and buying patterns to ensure competitiveness in the E-commerce era. Nowadays, any information related to consumer behavior has an important value in the highly competitive nature of the E-commerce market. Therefore, web mining can be used to find those obvious data that have potential value to reducecompetition and imultaneously increase business profit. This paper aims to study the common techniques of web mining to extract customer behavior in E-commerce, investigate customer behavior through the techniques and processes of the web data mining used.

Web mining is the application of data mining technique to discover useful information from World Wide Web. The most important challenge of electronic commerce (E-commerce) is to understand as much as possible the customers’ wants, desires,and buying patterns to ensure competitiveness in the E-commerce era. Nowadays, any information related to consumer behavior has an important value in the highly competitive nature of the E-commerce market. Therefore, web mining can be used to find those obvious data that have potential value to reducecompetition and imultaneously increase business profit. This paper aims to study the common techniques of web mining to extract customer behavior in E-commerce, investigate customer behavior through the techniques and processes of the web data mining used.