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)
In recent years, machine learning and data mining together plays a major role in the field of IT as well as research. Machine learning combines various ideas from several branches of science such as statistics, artificial intelligence, mathematics and data mining extracts useful information from large volumes of dataset to draw conclusions. There are several approaches related to machine learning and data mining techniques. A combined approach of these two, have proven that it improves the performance level and provides better results for complex problems and changing environments. In this paper, some of the learning methods and techniques that relate both the applications has been systematically reviewed and presented.
Keywords:
Machine learning, data mining, supervised learning, unsupervised learning
Cite Article:
"Study on a Combined Approach of Using Machine Learning and Data Mining Techniques", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.c316-c320, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301243.pdf
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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
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