A Review Study of various Data Mining Classification & Clustering Techniques

Abstract

Data mining application includes a variety of methodologies that have been developed by commercial & research centers. This technique has been used for industrial, commercial and scientific purposes. It is most useful in an exploratory analysis scenario in which there are no prearranged notions about what will compose an "interesting" outcome. The WEKA contains a set of visualization tools & algorithms for data analysis and predictive modeling, together with graphical user interfaces for simple access to this functionality. Karambeer Kaur | Mr Surender Singh"A Review Study of various Data Mining Classification & Clustering Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd135.pdf http://www.ijtsrd.com/engineering/computer-engineering/135/a-review-study-of-various-data-mining-classification-and-clustering-techniques/karambeer-kaur

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  • EP ID EP357321
  • DOI -
  • Views 189
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How To Cite

(2017). A Review Study of various Data Mining Classification & Clustering Techniques. International Journal of Trend in Scientific Research and Development, 1(4), -. https://europub.co.uk/articles/-A-357321