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  Published Paper Details:

  Paper Title

Degnue Prediction Using Classification techniques

  Authors

  SUNDARI B,  ANABARASAN V

  Keywords

Keywords -- Data mining, prediction, Dengue

  Abstract


Data mining is the method of finding knowledge such as patterns, associations, changes, anomalies and significant structures, from huge amount of data stored in database, data warehouses or other information storage place. Dengue is a mosquito borne viral disease which is mainly transmitted by the species of female mosquitoes named "Aedes Ageypti". This research work has been focused two stages namely classification and association. The main goal of research work is to predict the people who are affected by dengue depending upon categorization of symptoms. The classification is done by J48 classifier and the association is done to find which period has higher occurrence of dengue fever. This study of predicting the relationship between the dengue symptoms will surely help the biotechnologists and bio informaticians to discover antibiotic for dengue.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2311043

  Paper ID - 245854

  Page Number(s) - a326-a331

  Pubished in - Volume 11 | Issue 11 | November 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  SUNDARI B,  ANABARASAN V,   "Degnue Prediction Using Classification techniques", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 11, pp.a326-a331, November 2023, Available at :http://www.ijcrt.org/papers/IJCRT2311043.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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