Data Mining and Data Warehousing are two most significant techniques for pattern detection and concentrated data management in present technology. ELearning is one of the most important applications of data mining. The foremost idea is to provide a proposal for a practical model and architecture. The standards and system structural design are analyzed here. This paper provides importance to the combination of Web Services on the e-Learning application domain, because Web Service is the most complex choice for distance education during these days. The process of e-Learning can be promising more efficiently by utilizing of Web usage mining. Mor07/e sophisticated tools are developed for internet customer’s behaviour to boost sales and profit, but no such tools are developed to recognize learner’s performance in e-Learning. In this paper, some data mining techniques are examined that could be used to improve web-based learning environments.
[1]
Osmar R. Zaïane,et al.
Web Usage Mining for a Better Web-Based Learning Environment
,
2001
.
[2]
Sebastián Ventura,et al.
Data Mining in E-learning
,
2006
.
[3]
Jaideep Srivastava,et al.
Web mining: information and pattern discovery on the World Wide Web
,
1997,
Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence.
[4]
Jiawei Han,et al.
Discovering Web access patterns and trends by applying OLAP and data mining technology on Web logs
,
1998,
Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-.
[6]
Akram M. Zeki,et al.
Introduction to E- learning
,
2011
.