Title :
The Research of E-learning Resources´ Construction based on the Discovery-Driven Exploration of Data Cubes
Author_Institution :
China Minorities Inf. Technol. Inst., North-West Univ. for Nat., Lanzhou
Abstract :
The construction of e-learning, that user must add new values to the e-learning resources by adding their collective intelligence to the sites they visit. So it is important to concern the influence of the individual. This research introduces data mining of discovery-driven exploration methods for the special visitors in some community were suspected. And the data distribution for the education level of visitors virtually the same, the three residual numbers of Selfexp, Inexp, Pathexp determined by improving, used the values of LOF (p) based on the density outlier detection.
Keywords :
computer aided instruction; data mining; collective intelligence; data cube; density outlier detection; discovery-driven exploration; e-learning resource construction; education level; local outlier factor; residual number; Data analysis; Data mining; Electronic learning; Information technology; Libraries; based on the density outlier detection; data mining; discovery-driven exploration; the construction of E-learning resources;
Conference_Titel :
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3530-2
Electronic_ISBN :
978-1-4244-3531-9
DOI :
10.1109/KAMW.2008.4810685
