大數據分析技術的財務安全風險檢測研究

孫童真 尚冠宇 韓萬兵

摘? 要： 為了提高財務安全風險檢測精度，提高檢測結果的可信度，設計基于大數據分析技術的財務安全風險檢測算法。首先對當前財務安全風險檢測的研究現狀進行分析，指出各種算法存在的局限性;然后，采集財務安全風險檢測數據，并采用大數據分析描述財務安全風險變化特點，建立財務安全風險檢測模型;最后，與其他財務安全風險檢測算法進行對比測試，結果表明，大數據分析大幅度提高了財務安全風險檢測精度，財務安全風險檢測誤差要遠遠小于當前其他算法。

關鍵詞： 財務風險檢測; 財務信息; 大數據分析; 檢測模型; 檢測數據采集; 檢測精度對比

中圖分類號： TN911.2?34; TP391.9? ? ? ? ? ? ? ? ?文獻標識碼： A? ? ? ? ? ? ? ? ? ?文章編號： 1004?373X（2020）13?0085?03

Research on financial security risk detection based on big data analysis technology

SUN Tongzhen， SHANG Guanyu， HAN Wanbing

（Zhengzhou Sias University， Zhengzhou 451150， China）

Abstract： A financial security risk detection algorithm based on big data analysis technology is designed to improve the accuracy of financial security risk detection and the credibility of detection results. The current research status of financial security risk detection is analyzed and the limitations of various algorithms are pointed out. The financial security risk detection data are collected and the change characteristics of financial security risk are described and analyzed with the big data to establish a financial security risk detection model. The proposed algorithm is compared with other financial security risk detection algorithms. The results show that the big data analysis greatly improves the accuracy of financial security risk detection， and the financial security risk detection error produced with the designed algorithm is much smaller than that produced with other current algorithms.

Keywords： financial risk detection; financial information; big data analysis; detection model; detection data acquisition; detection accuracy contrast