• Jeevan Singh Bisht
• Mayushi Chouhan

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.

KDD, Data mining, association rules, Preprocessing algos, k-means, kNN, CART, ICDM, CLS, C4.5 etc

"DATA MINING PROBLEM SOLVING ALGORITHMS & THEIR COMPARATIVE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.266-273, March-2019, Available :http://www.jetir.org/papers/JETIR1903441.pdf

"DATA MINING PROBLEM SOLVING ALGORITHMS & THEIR COMPARATIVE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp266-273, March-2019, Available at : http://www.jetir.org/papers/JETIR1903441.pdf