A New Classification Algorithm for Data Stream
Li Su, Hongyan Liu, Song Zhen-hui · International Journal of Modern Education and Computer Science · 2011
Associative classification (AC) which is based on association rules has shown great promise over many other classification techniques on static dataset.Meanwhile, a new challenge have been proposed in that the increasing prominence of data streams arising in a wide range of advanced application.This paper describes and evaluates a new associative classification algorithm for data streams AC-DS, which is based on the estimation mechanism of the Lossy Counting (LC) and landmark window model.And AC-DS was applied to mining several datasets obtained from the UCI Machine Learning Repository and the result show that the algorithm is effective and efficient.