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Qualitative Analysis of Online Higher Education Websites Using Support Vector Machine

    Authors

    • Chandra Mauli Sharma 1
    • Dr. Suruchi Gautam 2

    1 Uttarakhand Technical University, Dehradun

    2 Rajdhani College, University of Delhi

,

Document Type : Research Article

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Abstract

The Quality analysis of online higher education websites is very important now a day. As such most of the quality parameters are defined to measure the quality of these websites. The paper is an attempt to make proper analysis of higher education websites. The research involves the creation of a database that includes well-defined parameters. Details are provided as an input to a learning model based on a vector support machine for comparison and ultimately geographical location. Testing the efficiency and accuracy of the database prepared for this task. This data was developed for seven different training, testing and verification on websites using support systems (SVM) algorithm. Algorithms trained with this database have proven to work well in site testing and level. The parameters provided are included in the model that includes the key keywords obtained (KH), average rating (AS), global standard (GR), wrap rate (BR) and daily page views per visitor (DPVPV). Thereafter a quality matrix is produced based on the quality of the extracted material. Pair pairing analysis was performed to determine the interaction between websites using scores on a quality matrix. The University of Kent (KENT) has been found
to have very high standards (13212.43) and in terms of quality content

Keywords

  • Quality
  • keywords
  • average
  • global rank
  • bounce rate
  • classification model
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European Journal of Molecular & Clinical Medicine
Volume 7, Issue 3
November 2020
Page 1235-1246
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  • Article View: 205
  • PDF Download: 268

APA

Sharma, C. M., & Gautam, D. S. (2020). Qualitative Analysis of Online Higher Education Websites Using Support Vector Machine. European Journal of Molecular & Clinical Medicine, 7(3), 1235-1246.

MLA

Chandra Mauli Sharma; Dr. Suruchi Gautam. "Qualitative Analysis of Online Higher Education Websites Using Support Vector Machine". European Journal of Molecular & Clinical Medicine, 7, 3, 2020, 1235-1246.

HARVARD

Sharma, C. M., Gautam, D. S. (2020). 'Qualitative Analysis of Online Higher Education Websites Using Support Vector Machine', European Journal of Molecular & Clinical Medicine, 7(3), pp. 1235-1246.

VANCOUVER

Sharma, C. M., Gautam, D. S. Qualitative Analysis of Online Higher Education Websites Using Support Vector Machine. European Journal of Molecular & Clinical Medicine, 2020; 7(3): 1235-1246.

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