INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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 (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 6, page no.20-23, June-2017, Available :http://www.ijnrd.org/papers/IJNRD1706003.pdf
Downloads:
000114577
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn