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kdnuggets.com /3 weeks ago

5 Essential Approaches to Robust Outlier Detection

Outliers can easily ruin the performance of any predictive analysis models you build: robustly detecting and handling them is crucial in any data project. This article lists and co...

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databricks.com /2 days ago

Ultra-Fast Anomaly Detection using Apache Spark Real-Time Mode

This post establishes a reusable pattern for operational workloads that genuinely move the needle: fraud detection...

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towardsdatascience.com /3 weeks ago

Encoding Categorical Data for Outlier Detection

Why one-hot encoding isn’t always the best approach, and alternative encodings The post Encoding Categorical Data for Outlier Detection appeared first on Towards Data Science.

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supplychain247.com /1 week ago

Anomaly Detection in Tire Inspection with Inspector83x

Inspector83x is a powerful 2D vision sensor designed to simplify and enhance quality control tasks, including anomaly detection. Utilizing advanced AI algorithms it is capable of p...

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cloud.google.com /2 weeks ago

Anomaly detection using dynamic thresholds and two-year-long alerts in Cloud Monitoring

Choosing the threshold of an alert policy can be a headache. You have to analyze historical data, aggregate it into semantically meaningful time series, and choose a threshold that...

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dzone.com /2 weeks ago

High-Cardinality Threat Detection: Why MapReduce Breaks and Heuristics Win

The Fundamental Problem: Signal Is Infinitesimal Compared to Noise Modern cloud systems operate at a scale where traditional data processing assumptions begin to break down. In lar...

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medium.com /3 weeks ago

AI Anomaly Detection in SAP: Securing Transactional Data with Machine Learning

Move beyond traditional ABAP validations. Learn how to architect intelligent SAP systems that detect hidden anomalies in real-time.Continue reading on Medium »

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salesforce.com /1 month ago

Forensic Behavioral Analysis: Finding Anomalies in Salesforce Logs

Analyzing Salesforce Event Monitoring to detect deviations from usual user and non-human behavior.

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dzone.com /1 month ago

Good Data, Bad Metric: A Mutation Testing Pattern for Analytics Engineering

A dashboard can look completely correct, while the reporting it shows is wrong, and that makes it one of the most difficult failures to detect in analytics engineering because noth...

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flowingdata.com /1 month ago

вњљ Showing when the data flips

This week, we focus on when there is a sudden change or flip in the data that you want to highlight.Tags: difference, highlight

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