Boosting算法及其在化学数据挖掘中的应用

The application of Boosting algorithm in chemical data mining

Boosting算法是近年来在机器学习领域中一种流行的用来提高学习精度的算法。以A daBoost.M 1为例对Boosting算法进行简单的介绍,指出了它的特点,论述了它在化学数据挖掘中的应用现状,并对Boosting算法在化学数据挖掘中的未来研究思路进行了讨论,为Boosting算法的推广与应用提供借鉴。

Boosting algorithm is a method to improve the learning accuracy in the field of machine learning. The advantages and disadvantages of AdaBoost. M1 algorithm were introduced and its recent application in the chemical data mining field was also discussed. And its possible developing directions in chemical data mining field were pointed out.