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

Springer London Ltd
Publication Type:
Journal Article
Knowledge And Information Systems, 2006, 9 (3), pp. 339 - 363
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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
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