Effective Classification Of Noisy Data Streams With Attribute-Oriented Dynamic Classifier Selection

Abstract

Recently, mining from data streams has become an important and challenging task for many real-world applications such as credit card fraud protection and sensor networking. One popular solution is to separate stream data into chunks, learn a base classif