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		<title>Automating Anomaly Detection in Ecommerce Traffic Patterns</title>
		<link>https://noise.getoto.net/2022/02/07/automating-anomaly-detection-in-ecommerce-traffic-patterns/</link>
		
		<dc:creator><![CDATA[Aditya Pendyala]]></dc:creator>
		<pubDate>Mon, 07 Feb 2022 18:30:00 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Lookout for Metrics]]></category>
		<category><![CDATA[Amazon Simple Notification Service (SNS)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
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					<description><![CDATA[Many organizations with large ecommerce presences have procedures to detect major anomalies in their user traffic. Often, these processes use static alerts or manual monitoring. However, the ability to detect minor anomalies in traffic patterns near real-time can be challenging. Early detection of these minor anomalies in ecommerce traffic (such as website page visits and […]]]></description>
		
		
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