title: Outliers & Anomaly Detection
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type: community
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group: Time Series Analysis
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image: /static/templates/outliers-anomaly-detection.png
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details: |
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<h1>Select time spans identifying outliers or anomalies on time series signals</h1>
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<dl>
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<dt>Industry Applications</dt>
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<dd>fraud detection, cybersecurity, network monitoring, industrial IoT, predictive maintenance, financial trading, healthcare monitoring, quality control, equipment failure prediction, supply chain monitoring, energy grid monitoring, sensor fault detection, system health monitoring</dd>
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<dt>Associated Models</dt>
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<dd>isolation forest, one-class SVM, LSTM autoencoders, statistical process control</dd>
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<dt>Domain Terminology</dt>
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<dd>CSV, Excel, XLS, Sheet, statistical outliers, point anomalies, contextual anomalies, collective anomalies, drift detection</dd>
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</dl>
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config: |
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<View>
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<!-- Object tag for time series data source -->
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<TimeSeries name="ts" valueType="url" value="$csv"
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sep=","
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timeColumn="time"
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timeFormat="%Y-%m-%d %H:%M:%S.%f"
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timeDisplayFormat="%Y-%m-%d"
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overviewChannels="velocity">
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<Channel column="velocity"
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units="miles/h"
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displayFormat=",.1f"
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strokeColor="#1f77b4"
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legend="Velocity"/>
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</TimeSeries>
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<!-- Control tag for region labels -->
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<TimeSeriesLabels name="label" toName="ts">
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<Label value="Region" background="red" />
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</TimeSeriesLabels>
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<Choices name="region_type" toName="ts"
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perRegion="true" required="true">
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<Choice value="Outlier"/>
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<Choice value="Anomaly"/>
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</Choices>
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</View>
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