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Improvement of Advertising Data Processing Efficiency Through Anomaly Detection and Recovery Mechanism

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  • Zhou, Yixin

Abstract

Advertising data processing is of great significance in the big data environment. However, the uncertainty of data and the interference of outliers often make the efficiency of the processing flow difficult. This article focuses on exploring the impact of anomaly detection and recovery mechanisms on improving the efficiency of advertising data processing. By examining current anomaly detection algorithms and recovery mechanisms, common issues in the advertising data processing stage have been revealed, including inconsistent data quality, failure to timely identify and recover anomalous data, and so on. We have integrated advanced technological achievements and developed an efficient detection and recovery plan to enhance the stability and accuracy of the data processing process. Research has shown that a reasonable anomaly detection and recovery mechanism can significantly enhance the efficiency of advertising data processing, ensure the accuracy of data analysis results, and provide important references for data management in the advertising field.

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  • Zhou, Yixin, 2025. "Improvement of Advertising Data Processing Efficiency Through Anomaly Detection and Recovery Mechanism," Journal of Media, Journalism & Communication Studies, Pinnacle Academic Press, vol. 1(1), pages 80-86.
    • Handle: RePEc:dba:jmjcsa:v:1:y:2025:i:1:p:80-86
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