An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model

Research article (Applied Intelligence, 2015) · cited 41× · AI/ML
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An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model

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An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-anomaly-detection-approach-for-multiple-monitoring-data-series-based-on-latent-correlation-probabilistic-model
MLA “An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-anomaly-detection-approach-for-multiple-monitoring-data-series-based-on-latent-correlation-probabilistic-model.
BibTeX @misc{4ortxyz_an-anomaly-detection-approach-for-multiple-monitoring-data-series-based-on-latent-correlation-probabilistic-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model}}, year = {2026}, url = {https://4ort.xyz/entity/an-anomaly-detection-approach-for-multiple-monitoring-data-series-based-on-latent-correlation-probabilistic-model}, note = {Accessed: 2026-05-24}}
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