Data Mining: An Introduction
Hardback or Cased Book 210 pages Nov 07, 2024
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-The book covers a wide range of topics related to data mining, including deep learning, decision tree induction, association rule mining, analytical statistics techniques, clustering, and more.-The book provides numerous case studies and examples that illustrate how data mining techniques can be applied in real-world settings, such as in banking, education, software engineering, and weather forecasting.-The book emphasizes the importance of machine learning in data mining and provides a detailed discussion of various machine learning techniques, such as regression and classification.-The book uses Python programming language and MapReduce algorithms to illustrate various data mining techniques, making it accessible to readers with programming experience.
- Author:
- Nimit Bhakta
- Publisher:
- Wordpen Academics
- Publication Date:
- Nov 07, 2024
- Number of pages:
- 210 pages
- Binding:
- Hardback or Cased Book
- ISBN-10:
- 9389183782
- ISBN-13:
- 9789389183788