Studying Data Mining and Data Warehousing with Different E-Learning System

Abstract

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.

Authors and Affiliations

Dr. Mohamed F. AlAjmi , Shakir Khan , Dr. Arun Sharma

Keywords

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  • EP ID EP109134
  • DOI 10.14569/IJACSA.2013.040122
  • Views 97
  • Downloads 0

How To Cite

Dr. Mohamed F. AlAjmi, Shakir Khan, Dr. Arun Sharma (2013). Studying Data Mining and Data Warehousing with Different E-Learning System. International Journal of Advanced Computer Science & Applications, 4(1), 144-147. https://europub.co.uk/articles/-A-109134