智能系统学报Issue(2)：95-104,10.DOI:10.3969/j.issn.1673-4785.201208012
概念漂移数据流分类研究综述
A survey ofth e classification of data streams with concept drift
摘要
Abstract
Because the current machine learning algorithms all are an optimization procedure that aims to ensure the generalization ability based on a static learning environment in essence , classification of data streams with concept drift has brought severe challenges to machine learning .The survey consists of four aspects : introduction to data streams and concept drift, the development process and future trends ,the main research fields , and the new trends in the study field of the classification of data streams with concept drift .The existing problems are discussed at last .关键词
大数据/概念漂移/增量学习/适应学习/数据流Key words
big data/concept drift/incremental learning/adaptive learning/data stream分类
信息技术与安全科学引用本文复制引用
益民,强保华,范志刚..概念漂移数据流分类研究综述[J].智能系统学报,2013,(2):95-104,10.基金项目
广西省可信软件重点实验室（桂林电子科技大学）开放课题资助项目（ KX201118）；湖南省科技计划资助项目（2010GK3047）；湖南省自然科学基金资助项目（10JJ5067）． （）
