Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function

作者：

Highlights：

• Implementation of a new similarity concept function using fuzzy logic techniques.

• Implementation of a meta-model representing the underlying concept drifts detected.

• Development of MM-PRec as a wrapper mechanism.

• Useful in intrusion detection systems.

• Useful in fraud detection systems.

摘要

•Implementation of a new similarity concept function using fuzzy logic techniques.•Implementation of a meta-model representing the underlying concept drifts detected.•Development of MM-PRec as a wrapper mechanism.•Useful in intrusion detection systems.•Useful in fraud detection systems.

论文关键词：Data stream mining,Hidden Markov model,Fuzzy logic,Concept drift,Classification

论文评审过程：Received 7 August 2014, Revised 18 October 2015, Accepted 19 October 2015, Available online 24 October 2015, Version of Record 18 November 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.10.022