Comparative Study of Popular Data Mining Algorithms

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T. Venkat Narayana Rao
Harsh Goel

Abstract

Data Science is an appealing field , in the present world due to advancement of science as there is huge assortment of data which exist in numerous forms . Such data must be handled with care and store safely so that it can be retrieved as per needs. Some of the popular or commonly used algorithms are Apriori algorithm, K Means Clustering, Support Vector machines(SVM) and Association Rule Mining algorithms. This paper focus on the above mentioned algorithms and a comparison is made in terms of Technique, Time Utilization Software taking real time data examples.

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Venkat Narayana Rao , T., & Goel , H. (2018). Comparative Study of Popular Data Mining Algorithms. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(9), 129 –. Retrieved from https://www.ijfrcsce.org/index.php/ijfrcsce/article/view/1751
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