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Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-w… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
Engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area
1. Introduction
D. Binu and B.R. Rajakumar
2. Intelligence Methods for Data Mining Tasks
N. Jayalakshmi and Sridevi Mantha
3. Unsupervised Learning Methods for Data Clustering
Satish Chander and P. Vijaya
4. Heuristic Methods for Data Clustering
Rajasekhar Butta, M. Kamaraju, and V. Sumalatha
5. Deep Learning Methods for Data Classification
V.H. Arul
6. Neural Networks for Data Classification
Balachandra Kumaraswamy
7. Application of Artificial Intelligence in the Perspective of Data Mining
D. Menaga and S. Saravanan
8. Biomedical Data Mining for Improved Clinical Diagnosis
G. Nalinipriya, M. Geetha, R.Cristin, and Balajee Maram
9. Satellite Data: Big Data Extraction and Analysis
Rahul Kotawadekar
10. Advancement of Data Mining Methods for Improvement of Agricultural Methods and Productivity
Anush Prabhakaran, K.S. Chithra Lekshmi, and Ganesh Janarthanan
11. Advanced Data Mining for Defense and Security Applications
Pramod Pandurang Jadhav
DB
BR