A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance

Li Xiangjun; Zhou Yong; Jin Ziyan; Yu Peng; Zhou Shun

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A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance

机译：基于Mahalanobis距离的凝聚力和分离指数的概念漂移数据流分类和新类检测算法

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摘要

Data stream mining has become a research hotspot in data mining and has attracted the attention of many scholars. However, the traditional data stream mining technology still has some problems to be solved in dealing with concept drift and concept evolution. In order to alleviate the influence of concept drift and concept evolution on novel class detection and classification, this paper proposes a classification and novel class detection algorithm based on the cohesiveness and separation index of Mahalanobis distance. Experimental results show that the algorithm can effectively mitigate the impact of concept drift on classification and novel class detection.

机译：数据流挖掘已成为数据挖掘中的研究热点，并引起了许多学者的注意。然而，传统的数据流挖掘技术仍然有一些问题在处理概念漂移和概念演变时要解决。为了减轻概念漂移和概念演化对新型类检测和分类的影响，本文提出了一种基于Mahalanobis距离的凝聚力和分离指数的分类和新型类检测算法。实验结果表明，该算法可以有效地减轻概念漂移对分类和新类检测的影响。

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《Journal of electrical and computer engineering》 |2020年第1期|4027423.1-4027423.8|共8页
作者
Li Xiangjun; Zhou Yong; Jin Ziyan; Yu Peng; Zhou Shun;
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Nanchang Univ Sch Software Nanchang 330047 Jiangxi Peoples R China|Nanchang Univ Dept Comp Sci & Technol Nanchang 330031 Jiangxi Peoples R China;

Nanchang Univ Dept Comp Sci & Technol Nanchang 330031 Jiangxi Peoples R China;

State Grid Jiangxi Elect Power Co Ltd Informat & Commun Branch Nanchang 330096 Jiangxi Peoples R China;

Nanchang Univ Dept Comp Sci & Technol Nanchang 330031 Jiangxi Peoples R China;

Nanchang Univ Dept Comp Sci & Technol Nanchang 330031 Jiangxi Peoples R China;

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1. An ensemble method for data stream classification in the presence of concept drift [J] . Omid ABBASZADEH, Ali AMIRI‡, Ali Reza KHANTEYMOORI 浙江大学学报（英文版）（C辑：计算机与电子） . 2015,第012期
2. A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance [J] . Xiangjun Li, Yong Zhou, Ziyan Jin, Research Letters in Signal Processing . 2020,第3期

机译：基于Mahalanobis距离的凝聚力和分离指数的概念漂移数据流分类和新型类检测算法
3. 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
4. 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
5. 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
6. The GC3 framework grid density based clustering for classification of streaming data with concept drift. [D] . Sethi, Tegjyot Singh. 2013

机译：基于GC3框架网格密度的聚类，用于通过概念漂移对流数据进行分类。
7. Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance [O] . Yange Sun, Meng Li, Lei Li, 2021

机译：具有与概念漂移和类不平衡的演化数据流的成本敏感分类
8. Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification [O] . Perez, Jorge Luis Rivero, Ribeiro, Bernardete, Perez, Carlos Morell 2016

机译：基于实例的数据的mahalanobis距离度量学习算法流分类
9. Multivariate classification of BPSG thin films using Mahalanobis distances [R] . Zhang, S. , Franke, J. E. , Niemczyk, T. M. , 1995

机译：使用mahalanobis距离的BpsG薄膜的多变量分类

A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance

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