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Examination of e-learning system based on intelligent data analysis

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Date
2007
Author
Mamčenko, Jelena
Šileikienė, Irma
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Abstract
The data warehouse provides the data foundation for the data - the place when the data that goes into the process of knowledge discovers is stored. Data mining may be used to automatically perform knowledge discovery by giving the mining algorithm loose cues about potential relationships and letting the algorithm work on the data to discover the relationships and items to focus on further. OLAP is complimentary to data mining and is most likely the first, and most preferred, manner of discovering knowledge. OLAP works through a user performing specific, rather than general, interactive analysis with the data. If a data warehouse is present in the environment, either it or a data man. would be the database used by OLAP. In this article we tried to introduce possible ways of intelligent E-learning system's data analysis using data warehouse. OLAP and data mining technologies. Some aspects and suggestion of using these intelligent analysis components are presented. The Grid technology discussed below will help to mine gathered data more effectively without time and memory losses.
Issue date (year)
2007
URI
https://etalpykla.vilniustech.lt/handle/123456789/130279
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  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

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