税收大数据分析在工业企业疑点排查中的应用研究

January 1, 2026国际经济与管理Open Access

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Key Points

This research aims to explore how big data analysis can enhance the investigation of suspicious activities in industrial enterprises.
Analyzed large datasets characteristic of industrial enterprises using big data techniques.
Focused on aspects like volume, velocity, variety, and value in data processing.
Examined practical applications of data analysis in identifying anomalies and risks.
Showed that big data analysis improves detection rates of suspicious activities in industrial sectors.
Demonstrated enhanced decision-making capabilities through real-time data processing.
Highlighted the importance of various data dimensions (Volume, Velocity, Variety) in effective analysis.

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Application of big data analysis to enhance suspicion investigation in industrial enterprises, suggesting improved efficiency.

特点，即Volume(大量)、Velocity(高速)、 Variety(多样)、Value(价值)。大量指数据量巨大，

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Wang et al. (2026) studied this question.

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