Performance enhancement of classification scheme in data mining using hybrid algorithm

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@InProceedings{Singhal:2015:ICCCA,

• author = "Neelam Singhal and Mohd. Ashraf",
• booktitle = "2015 International Conference on Computing, Communication Automation (ICCCA)",
• title = "Performance enhancement of classification scheme in data mining using hybrid algorithm",
• year = "2015",
• pages = "138--141",
• abstract = "Data mining has been an active area of research for the past couple of decades. Classification is an important data mining technique that consists of assigning a data instance to one of the several predefined categories. Various successful methods have already been suggested and tested to solve the problems of the classification. In this paper, author proposed a new hybrid classifier by combining evolutionary and non-evolutionary algorithms; specifically, by merging Genetic Programming and Decision Tree to improve the accuracy, comprehensibility and timing of the classification.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/CCAA.2015.7148360",
• month = may,
• notes = "School of ICT, Gautam Buddha University, Greater Noida, India

  Also known as \cite{7148360}",

}

Genetic Programming entries for Neelam Singhal Mohd Ashraf

Citations