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Dengue Outbreak Prediction Using Data Mining Techniques

EasyChair Preprint no. 3209

8 pagesDate: April 21, 2020

Abstract

The incidence of dengue has grown dramatically around the world in the past decade. Preventive measures should be adopted to reduce the number of incidences and deaths caused by Dengue. Measures for early case detection, improved outbreak detection and prevention techniques are required to be implemented. We have implemented several data mining techniques for prediction of dengue outbreaks.

Keyphrases: Data Mining, Dengue, prediction, time series

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3209,
  author = {Asha Bharambe and Dhananjay Kalbande},
  title = {Dengue Outbreak Prediction Using Data Mining Techniques},
  howpublished = {EasyChair Preprint no. 3209},

  year = {EasyChair, 2020}}
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