Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
Data mining techniques provide robust tools for extracting valuable insights from data, enabling informed decision-making and fostering innovation across various industries. Businesses can gain a competitive edge, enhance operational efficiency, and realize the untapped potential in their data holdings by using such techniques appropriately. Data mining is process used to extract data and discover knowledge from it and presenting it to humans by more understandable format and data mining is used to analyzing the data stores in large data warehouses and discover last unknown data structures and relations out of large data. This is a review paper that introduces the study of techniques used to make prediction on large dataset to analyze the future prediction in any sector. This paper focus on various ensemble learning techniques and also comparison of ensemble learning techniques with each other by using data mining techniques.
Keywords:
Data Mining, Data Mining Techniques, Mining tool’s and Application.
Cite Article:
"Data Mining Technique", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b215-b221, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503126.pdf
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000359
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator