Welcome to IOU Digital Library

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions explores the use of ensemble techniques to improve the performance and reliability of data mining models. Giovanni Seni and John F. Elder explain how combining multiple predictive models can produce more accurate results than relying on a single model. The book covers the principles behind ensemble learning, including methods such as bagging, boosting, random forests, and model combination strategies, along with their applications in real-world data analysis. It is designed for researchers, students, and professionals interested in data mining, machine learning, and predictive analytics.

no reviews

245: $a: Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions
245: $b:
082: $a:
100: $a: Giovanni Seni & John F. Elder
650: $a: Data mining, Machine learning
250: $a:
440: $v:
250: $b: Morgan & Claypool Publishers
250: $c: 2010
020: $a: 978-1608452859
300: $a: 127