Application of adaptive boosting (AdaBoost) in demand-driven acquisition (DDA) prediction: A machine-learning approach

This study's results show that the AdaBoost model possesses much higher predictive capacity than a regression-based model informed by the same set of predictors. The AdaBoost algorithm, once trained with local DDA data, provides accurate predictions in 82% of cases.
Source: The Journal of Academic Librarianship - Category: Databases & Libraries Source Type: research