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Behavior analysis and intelligent management decision-making of students in higher vocational colleges based on big data mining

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The proposed hybrid algorithm model demonstrates an average relative error of less than 5%, enhancing predictive performance.
Using multiple algorithm combinations results in greater prediction accuracy compared to traditional single algorithms for student behavior.
Hadoop technology is utilized to build a comprehensive behavior analysis system for managing student data effectively.
This research involves a sample size ranging from 1000 to 6000 students to validate the effectiveness of the predictive models.

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Analysis shows improved prediction accuracy of student behavior using big data algorithms, indicating enhanced management potential.

Nannan Liu (2025) studied this question.

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