INGC: Graph Clustering & Outlier Detection Algorithm Using Label Propagation

2017 International Conference on Machine Learning and Data Science (MLDS) ◽

10.1109/mlds.2017.14 ◽

2017 ◽

Author(s):

Vandana Bhatia ◽

Bharti Saneja ◽

Rinkle Rani

Keyword(s):

Outlier Detection ◽

Graph Clustering ◽

Detection Algorithm ◽

Label Propagation

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RODA: A Fast Outlier Detection Algorithm Supporting Multi-Queries

IEEE Access ◽

10.1109/access.2021.3058660 ◽

2021 ◽

Vol 9 ◽

pp. 43271-43284

Author(s):

Xite Wang ◽

Jiafan Li ◽

Mei Bai ◽

Qian Ma

Keyword(s):

Outlier Detection ◽

Detection Algorithm

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Research on the framework of university ideological and political education management system based on artificial intelligence

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-219134 ◽

2021 ◽

pp. 1-10

Author(s):

Xuying Sun ◽

Yu Zhang

Keyword(s):

Artificial Intelligence ◽

Political Theory ◽

Outlier Detection ◽

Management System ◽

Detection Algorithm ◽

Colleges And Universities ◽

Ideological And Political Education ◽

Political Education ◽

Data Simulation ◽

Artificial Intelligence Technology

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.

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