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Paper Title: Survey on various classification technique in data mining
Authors Name: Sonia Jain , Avinash Dhole
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Published Paper Id: IJNRD1706003
Published In: Volume 2 Issue 6, June-2017
Abstract: Classification is a known as a supervised learning process in which we have a prior information about the data to be classified. It is used to find out the relation between the dataset and the group which is to be checked with the dataset by comparing its each instance. The most famous classification algorithms which are used nowadays are k-nearest neighbor,C4.5, ID3, SVM and Random forest. Statistical approach, Neural networks and MAchine learning approaches are followed by the general classification algorithms. And taking into consideration of the above mentioned approaches the following paper introduces us to the survey of the aforementioned algorithms in details including their advantages and disadvantages.
Keywords: Supervised learning, K-nearest neighbor, C4.5, ID3, SVM, Random Forest.
Cite Article: "Survey on various classification technique in data mining", International Journal of Novel Research and Development (, ISSN:2456-4184, Vol.2, Issue 6, page no.20-23, June-2017, Available :
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