Main Reference PaperSupervised methods for regrouping attributes in fuzzy rule-based classification systems, Applied Intelligence, 2018 [Java/Python/R]
  • A supervised attributes regrouping approach based on frequent itemset mining is proposed. To detect the associations between the attributes, a class of labeled data is considered. Then, it uses the groups of attributes to construct the classification fuzzy rules.

+ Description
  • A supervised attributes regrouping approach based on frequent itemset mining is proposed. To detect the associations between the attributes, a class of labeled data is considered. Then, it uses the groups of attributes to construct the classification fuzzy rules.

  • To improve the classification accuracy.

+ Aim & Objectives
  • To improve the classification accuracy.

  • In the preprocessing phase, a classification method is transformed the data into subgroups of lower dimensional data.

+ Contribution
  • In the preprocessing phase, a classification method is transformed the data into subgroups of lower dimensional data.

  • 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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