Business Intelligence from Web Usage Mining

Business Intelligence from Web Usage Mining

The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer’s option to choose from several alternatives, the business community has realized the necessity of intelligent marketing strategies and relationship management. Web usage mining attempts to discover useful knowledge from the secondary data ...

A data warehouse/online analytic processing framework for web usage mining and business intelligence reporting

Web usage mining is the application of data mining techniques to discover usage patterns and behaviors from web data (clickstream, purchase information, customer information, etc.) in order to understand and serve e-commerce customers better and improve the online business. In this article, we present a general data warehouse/online analytic processing (OLAP) framework for web usage mining and ...

Web Business Intelligence: Mining the Web for Actionable Knowledge

A Data Warehouse/OLAP Framework for Web Usage Mining and Business Intelligence Reporting

Web usage mining is the application of data mining techniques to discover usage patterns and behaviors from web data (clickstream, purchase information, customer information etc) in order to understand and serve e-commerce customers better and improve the online business. In this paper we present a general Data Warehouse/OLAP framework for web usage mining and business intelligence reporting. W...

A Framework to Integrate Business Goals in Web Usage Mining

Web mining is a broad term that has been used to refer to the process of information discovery from Web sources: content, structure, and usage. Information collected by web servers and kept in the server log is the main source of data for analyzing user navigation patterns. Notwithstanding, knowing the most frequent user paths is not enough: it is necessary to integrate web mining with the comp...