文章基本信息

标题：Studying Data Mining and Data Warehousing with Different E-Learning System
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作者：Dr. Mohamed F. AlAjmi ; Shakir Khan ; Dr.Arun Sharma 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2013
卷号：4
期号：1
DOI：10.14569/IJACSA.2013.040122
出版社：Science and Information Society (SAI)
摘要：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.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Data Mining; Data Warehousing; e-Learning; Moodle; LMS; LCMS.