Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Guidance Performance Indicator " Web Metrics for Information Driven Web Sites
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
A Methodology for Analyzing Web-Based Qualitative Data
Journal of Management Information Systems
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HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
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Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Advanced Web Metrics with Google Analytics, 2nd Edition
Advanced Web Metrics with Google Analytics, 2nd Edition
Web Analytics for Security Informatics
EISIC '11 Proceedings of the 2011 European Intelligence and Security Informatics Conference
The role of professional discourses in the organisational adaptation of information systems
International Journal of Information Management: The Journal for Information Professionals
Business process mining from e-commerce web logs
BPM'13 Proceedings of the 11th international conference on Business Process Management
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This is a survey paper which gives some different types of Web Analytics metrics and how the data is collected related to these metrics. As we know with the increasing need to meet customer preferences and to understand customer behavior, Web Analytics plays an important role to approach and fulfill the needs. The aim of the study is to contribute to the existing work by providing some of the key factors of change in the context of Web Analytics implementation and transition towards a data-driven analytics culture. Web Analytics has become a very important component of many web based system environment and helps in taking business decisions. This paper describes the process of Web Analytics, also the importance and the workings of summary for analytics. For the evaluation of web sites many tools and metrics are available. Basically these metrics are derived from the kind of response of the website users that tells the success of the website. Here we studied the information collected and the analysis done by various authors related to this collection. This paper will hopefully encourage a discussion and further study of Web Analytics.