Data Mining Problem Solving Algorithms & Their Comparative Study

This paper presents the comparison schemes between mining algos identified by the IEEE International Conference on Data Mining (ICDM) are : C4.5, k-Means, Apriori, FP growth, Page Rank, Ada Boost, kNN, and CART. These algos are among the most influential data mining algorithms in the research community. With each algorithm, we provide a description of the algorithm, comparison between these algos, discuss the impact of the algorithm, and review current and further research on the algos. These algorithms cover classification.

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