Main Reference PaperChaotic dragonfly algorithm- an improved metaheuristic algorithm for feature selection, Applied Intelligence, 2018 [Java/Python/R]
  • A proposed Chaotic dragonfly algorithm(CDA) consists of three phases:1) data pre-processing, 2) feature selection and the classification phase. In the data pre-processing phase, Synthetic Minority Over-sampling Technique (SMOTE) technique is used to solve the problem of the imbalanced dataset. At the features selection phase, the most discriminating features are selected using CDA. Finally, the selected features from CDA used to feed Support Vector Machine (SVM) classifier at the classification phase.

+ Description
  • A proposed Chaotic dragonfly algorithm(CDA) consists of three phases:1) data pre-processing, 2) feature selection and the classification phase. In the data pre-processing phase, Synthetic Minority Over-sampling Technique (SMOTE) technique is used to solve the problem of the imbalanced dataset. At the features selection phase, the most discriminating features are selected using CDA. Finally, the selected features from CDA used to feed Support Vector Machine (SVM) classifier at the classification phase.

  • To improve the classification accuracy.

  • To select the relevant features from the drug dataset.

+ Aim & Objectives
  • To improve the classification accuracy.

  • To select the relevant features from the drug dataset.

  • An effective feature selection mechanism is contributed.

+ Contribution
  • An effective feature selection mechanism is contributed.

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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