TY  - GEN
AU  - Bhakta, Nimit 
AU  - Ali, Nagma
TI  - Data mining: an introduction
SN  - 9789389183788
U1  - 006.312 B43 
PY  - 2024///
CY  - New Delhi
PB  - Bio-Green Books, 
KW  - Data digging techniques
KW  - Data mining including deep learning
KW  - Analytical statistics techniques and clustering
N1  - 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
ER  -