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@article{157938,
        author = {O YAMINI and Dr G V RAMESH BABU},
        title = {COMPARATIVE STUDY BETWEEN ID3 ALGORITHM AND IMPROVED ID3 ALGORITHM IN DATAMINING },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {8},
        pages = {324-329},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157938},
        abstract = {Data mining includes several important technologies such as classification, clustering, regression, etc. Categorical mining technology, among data mining technologies, is becoming the most mature and active research direction enabling successful applications. Categorical mining can be applied to uncover useful information from large amounts of data stored in a large number of fields such as hospitals, inventory, banking, etc. Decision tree methods, neural network methods and statistics exploratory methods. A large number of decision tree algorithms such as Iterative Dichotomizer 3, C4.5 and Classification and Regression Tree (CART) are used in different fields. Most of the decision tree methods are developed from the ID3 method. Based on the disadvantages of the disadvantages of the ID3 algorithm, the improved ID3 algorithm is developed using Taylor’s attitude. In this article, we will compare ID3 Algorithm and Advanced ID3 Algorithm to see how effective the Advanced ID3 Algorithm is.  },
        keywords = {Data mining, ID3 classification algorithm, Improved ID3 algorithm },
        month = {},
        }