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Integrating novel class detection with classification for concept-drifting data streams

机译：将新颖的类检测与分类集成在一起，以进行概念漂移数据流

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Mohammad M. Masud; Latifur Khan; Bhavani Thuraisingham;
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年度 2009
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专利

1. Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints [J] . Masud Mohammad, Gao Jing, Khan Latifur, Knowledge and Data Engineering, IEEE Transactions on . 2011,第6期

机译：时间约束下概念抽取数据流中的分类和新颖的类检测
2. Research on detection and integration classification based on concept drift of data stream [J] . Baoju Zhang, Yidi Chen Eurasip Journal on Wireless Communications and Networking . 2019,第1期

机译：基于数据流概念漂移的检测与集成分类研究
3. Research on detection and integration classification based on concept drift of data stream [J] . Baoju Zhang, Yidi Chen Eurasip Journal on Wireless Communications and Networking . 2019,第1期

机译：基于数据流概念漂移的检测与集成分类研究
4. Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams [C] . Mohammad M. Masud, Jing Gao, Latifur Khan, European conference on machine learning and knowledge discovery in databases;ECML PKDD 2009 . 2009

机译：将新颖的类检测与分类集成在一起，用于概念抽取数据流
5. Early anomaly detection and classification with streaming synchrophasor data in electric energy systems. [D] . Chen, Yang. 2015

机译：电能系统中流同步相量数据的早期异常检测和分类。
6. Streaming chunk incremental learning for class-wise data stream classification with fast learning speed and low structural complexity [O] . Prem Junsawang, Suphakant Phimoltares, Chidchanok Lursinsap 2012

机译：流式块增量学习，用于以快速的学习速度和较低的结构复杂度对类数据流进行分类
7. Research on detection and integration classification based on concept drift of data stream [O] . Baoju Zhang, Yidi Chen 2019

机译：基于数据流概念漂移的检测与集成分类研究

Integrating novel class detection with classification for concept-drifting data streams

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