A Novel Big Data Based Security Analytics Approach for Concept-Based Mining Model in Cloud Computing

Authors

  • M. Bhargavi Krishna   Student, Department of Computer Science And Engineering, Madanapalle Institute Of Technology And Science, Madanapalle, India)
  • Dr.K.Sarvanan  Assistant Professor, Department of Computer Science And Engineering, Madanapalle Institute Of Technology And Science, Madanapalle, India

Keywords:

Concept-based mining model, sentence-based, document-based, corpus-based, concept analysis, conceptual term frequency, concept-base similarity

Abstract

The mining model can catch terms that present the ideas of the sentence, which prompts disclosure of the theme of the archive. Another concept based mining model that breaks down terms on the sentence, report, and corpus levels is presented. The concept based mining model can viably separate between non important terms as for sentence semantics and terms which hold the concepts that speak to the sentence meaning. The proposed mining model comprises of sentence-based concept analysis, document based concept analysis, corpus-based similarity measure, and concept based similarity measure. The term which adds to the sentence semantics is dissected on the sentence, record, and corpus levels as opposed to the customary investigation of the report as it were. The proposed model can effectively discover noteworthy coordinating ideas between reports, as indicated by the semantics of their sentences. The likeness between documents is figured in light of another concept based similarity measure. The proposed similarity measure takes full favorable position of utilizing the concept analysis measures on the sentence, report, and corpus levels in figuring the closeness between records.

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Published

2018-06-30

Issue

Section

Research Articles

How to Cite

[1]
M. Bhargavi Krishna , Dr.K.Sarvanan, " A Novel Big Data Based Security Analytics Approach for Concept-Based Mining Model in Cloud Computing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.186-190, May-June-2018.