HDSM: A distributed data mining approach to classifying vertically distributed data streams
作者：
Highlights：
• A novel architecture for distributed stream mining with limited data centralization.
• A protocol for optimizing data transmission volume in a streaming environment.
• An algorithm for automatically adapting the architecture to data stream concept drift.
• A set of real-world datasets for distributed stream mining evaluation.
摘要
•A novel architecture for distributed stream mining with limited data centralization.•A protocol for optimizing data transmission volume in a streaming environment.•An algorithm for automatically adapting the architecture to data stream concept drift.•A set of real-world datasets for distributed stream mining evaluation.
论文关键词：Distributed data stream mining,Vertically-distributed data,Online classification
论文评审过程：Received 21 December 2018, Revised 8 October 2019, Accepted 9 October 2019, Available online 14 October 2019, Version of Record 16 January 2020.
论文官网地址：https://doi.org/10.1016/j.knosys.2019.105114
