Intelligent analysis of user interactions with web applications
Proceedings of the 7th international conference on Intelligent user interfaces
Clustering Web Sessions by Sequence Alignment
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Analysis of navigation behaviour in web sites integrating multiple information systems
The VLDB Journal — The International Journal on Very Large Data Bases
A knowledge processing oriented life cycle study from a Digital Museum system
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Data Mining Methods and Models
Data Mining Methods and Models
Current trends in web data analysis
Communications of the ACM - Entertainment networking
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Mining learner profile utilizing association rule for web-based learning diagnosis
Expert Systems with Applications: An International Journal
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Seeking activity: on the trail of users in open and community source frameworks
Proceedings of the 35th annual ACM SIGUCCS fall conference
Proceedings of the 38th annual ACM SIGUCCS fall conference: navigation and discovery
Data Mining User Activity in Free and Open Source Software FOSS/ Open Learning Management Systems
International Journal of Open Source Software and Processes
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With the rise of cyber-infrastructure in higher education research and teaching, new challenges surface when it comes to understanding users and usage. How, where, and when user activity gets captured and analyzed in academic online systems is particularly critical in internet-based systems. The flexibility that these open systems allow for in promoting easy integration of different technologies (e.g., applications layer, presentation layer, middleware, and data sources) has repercussions for usage analysis: round the clock access, unseen users, distributed logs, and huge volumes of cryptic data. This paper demonstrates how knowledge discovery solutions - particularly web usage mining methods - have been taken up to address these challenges in one higher education setting involving the Sakai collaboration and learning environment. The goals of this paper include: 1) providing some definitions and explications by example of specific data mining processes as they are actually being used; 2) describing the issues and challenges that motivate the use of data mining and 3) showing how data mining integrates with established project management best practices.