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Research Article | Open Access |

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

Author 1: Dr. Mohamed F. AlAjmi Author 2: Shakir Khan Author 3: Dr.Arun Sharma
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 1 · Published 2013 · Cited by 19

DOI: https://doi.org/10.14569/IJACSA.2013.040122

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.

Keywords

How to Cite this Article

AlAjmi, D. M. F., Khan, S., & Sharma, D. (2013). Studying Data Mining and Data Warehousing with Different E-Learning System. International Journal of Advanced Computer Science and Applications, 4(1). https://doi.org/10.14569/IJACSA.2013.040122

AlAjmi, Dr. Mohamed F., et al.. "Studying Data Mining and Data Warehousing with Different E-Learning System." International Journal of Advanced Computer Science and Applications, vol. 4, no. 1, 2013, https://doi.org/10.14569/IJACSA.2013.040122.

@article{AlAjmi2013,
  title     = {Studying Data Mining and Data Warehousing with Different E-Learning System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {1},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Dr. Mohamed F. AlAjmi and Shakir Khan and Dr.Arun Sharma},
  doi       = {10.14569/IJACSA.2013.040122},
  url       = {https://doi.org/10.14569/IJACSA.2013.040122}
}

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