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Dengue Prediction Using (MLP) Multilayer Perceptron - A Machine Learning Approach

EasyChair Preprint no. 2444

6 pagesDate: January 22, 2020

Abstract

Machine learning (ML) is the application of Artificial Intelligence (AI) that provides systems the ability to learn automatically from experience. The primary aim of ML is to allow computers learn without human intervention or assistance. It easily identifies trends and patterns, continuous improvement, handling multidimensional and multi-variety data. Dengue is the most virally occurring mosquito-borne disease in recent days. The Multilayer Perceptron (MLP) algorithm in Machine Learning is used to achieve accuracy in analysing and predicting dengue disease. The parameters of the dengue integrated model are identified using an optimization-based methodology in multiple stages. The prediction of dengue using the MLP algorithm is carried out by three phases. The initial phase of dengue prediction is data visualization and pre-processing which is implemented by SMO (Sequential Minimal Optimization).SMO is an algorithm for solving the quadratic programming problem that arises during the training of Support Vector Machines (SVM).The second phase is the MLP feature selection algorithm which includes a leverage backward logistic regression risk analysis. The final phase includes feature reduction by MLP is a part of dimensionality reduction in the dataset. The implementation of dengue prediction is done by the WEKA tool. WEKA tool is a collection of machine learning algorithms for data mining tasks. This tool can be applied to a dataset directly or called from the java code and contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization.

Keyphrases: 1. Data Mining(DM), 2. Support Vector Machine(SVM), 3. Sequential Mining Optimization(SMO)

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:2444,
  author = {V. Janani and N. Maadhuryaa and D. Pavithra and S. Ramya Sree},
  title = {Dengue Prediction Using (MLP) Multilayer Perceptron - A Machine Learning Approach},
  howpublished = {EasyChair Preprint no. 2444},

  year = {EasyChair, 2020}}
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