how does data mining technique AdaBoost work? [closed]

Question

As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.

Closed 8 years ago.

I came across the data mining technique AdaBoost but i can not find much information regarding how it works or any examples i can go through, can someone please shed some light in this area?

Also i would like to give prediction and exploration of data a try, does anyone have any examples?

Answer 1

This tutorial explains the idea very well. At the end of the tutorial, in section Problems, item 4 points you to a simple classification problem which you can try, and item 5 points you to the code of the implementation of the Viola-Jones algorithm in the OpenCV library. Its object detection framework employs a variant of the AdaBoost to both select the best features and to train classifiers that use them.