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Data Mining and Machine Learning Applications
book

Data Mining and Machine Learning Applications

by Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
March 2022
Intermediate to advanced content levelIntermediate to advanced
496 pages
12h 39m
English
Wiley-Scrivener
Content preview from Data Mining and Machine Learning Applications

5Data Mining Tools and Techniques: Clustering Analysis

Rohit Miri1, Amit Kumar Dewangan2*, S.R. Tandan1, Priya Bhatnagar3 and Hiral Raja4

1Department of CSE, Dr. C.V. Raman University Bilaspur, Chhattisgarh, India

2IT Department, G.G.V. (Central University) Bilaspur, Chhattisgarh, India

3Department of CSE, VNR VJIET, Hyderabad, India

4CMR Engineering College, Hyderabad, India

Abstract

The whole research focuses on a range of techniques, challenges, and different areas of investigation that are useful and identified as an important field of data mining technology. Even though we know, many MNCs and huge organisations are working in better places in different countries. Each place of action can generate huge amounts of data. Corporate executives grant access from every solitary source and make vital choices. The Information Distribution Center is often used in an enormous business sense by enhancing the viability of the administrative dynamic. In an uncertain and deeply serious development business, the approximation of important data frameworks, for example, is nevertheless successfully viewed in the existing business situation. Efficiency or frequency is not the key to intensity. This kind of tremendous amount of information is available as a tera-to-petabyte that has completely changed in the scientific fields and specification. To analyze, monitor, and resolve the selection of this massive quantity of information, we require methodology based Data Mining, that will change ...

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Publisher Resources

ISBN: 9781119791782Purchase Link