Classification Model Using Optimization Technique: A Review

  • Diwathe D
  • Dongare S
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-Data Mining is widely used in Sciences and technology fields. Classification is essential and important technique in data mining. Classification technique contains different types of classifiers. Decision Tree is most useful ruled based classifier, the rules are in the form of IF-THEN rules and generate it according to applicable conditions in tree structure, and checks all condition for classifying the data. The research of this project is that, Decision Tree is designing by greedy approach which is used to generate decision for each and every attributes, but the demerits of classification technique is generating number of rules during classification, it tends to less accuracy and efficiency. Resolved this disadvantage with the help of Artificial Bee Colony Optimization Algorithm. It is used to optimize rules and update the conditions during classification and optimized result. Therefore, classification using optimization algorithm is increasing accuracy and efficiency of classification model.

Author-supplied keywords

  • Artificial Bee Colony Optimization Algorithm(ABC\r\nOptimization Algorithm)
  • Classification technique
  • Data Mining
  • Decision Tree Classifier

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  • Deoshree Diwathe

  • Snehlata S Dongare

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