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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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A Survey on Data Mining Techniques

RANSHUL CHAUDHARY, PRABHDEEP SINGH, RAJIV MAHAJAN Student, M.Tech Department, Global College of engineering and technology, Amritsar, India Assistant professor, M.Tech Department, Global College of engineering and technology, Amritsar, India Head of the Department, M.Tech Department, Global College of engineering and technology, Amritsar, India

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Abstract: Data Mining refers to the analysis of observational datasets to find relationships and to summarize the data in ways that are both understandable and useful. Compared with other DM techniques, Intelligent Systems (ISs) based approaches, which include Artificial Neural Networks (ANNs), fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as Genetic Algorithms (GAs), are tolerant of imprecision, uncertainty, partial truth, and approximation. This paper is concerned with the ideas behind design; implementation, testing and application of a novel ISs based DM technique.

Keywords: Data mining, clustering, classification, MST

How to Cite:

[1] RANSHUL CHAUDHARY, PRABHDEEP SINGH, RAJIV MAHAJAN Student, M.Tech Department, Global College of engineering and technology, Amritsar, India Assistant professor, M.Tech Department, Global College of engineering and technology, Amritsar, India Head of the Department, M.Tech Department, Global College of engineering and technology, Amritsar, India, “A Survey on Data Mining Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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