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	<title>Graph visualisation &#8211; Noise</title>
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		<title>Unsupervised graph anomaly detection &#8211; Catching new fraudulent behaviours</title>
		<link>https://noise.getoto.net/2023/08/02/unsupervised-graph-anomaly-detection-catching-new-fraudulent-behaviours/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Wed, 02 Aug 2023 01:23:05 +0000</pubDate>
				<category><![CDATA[Anomaly detection]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Fraud Detection]]></category>
		<category><![CDATA[Graph Networks]]></category>
		<category><![CDATA[Graph visualisation]]></category>
		<category><![CDATA[graphs]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[security]]></category>
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					<description><![CDATA[Earlier in this series, we covered the importance of graph networks, graph concepts, graph visualisation, and graph-based fraud detection methods. In this article, we will discuss how to automatically detect new types of fraudulent behaviour and swiftl...]]></description>
		
		
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		<title>Graph service platform</title>
		<link>https://noise.getoto.net/2023/01/05/graph-service-platform/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 05 Jan 2023 01:18:05 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Fraud Detection]]></category>
		<category><![CDATA[Graph Networks]]></category>
		<category><![CDATA[Graph visualisation]]></category>
		<category><![CDATA[graphs]]></category>
		<category><![CDATA[security]]></category>
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					<description><![CDATA[Introduction

In earlier articles of this series, we covered the importance of graph networks, graph concepts, how graph visualisation makes fraud investigations easier and more effective, and how graphs for fraud detection work. In this article, we el...]]></description>
		
		
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		<title>Graph for fraud detection</title>
		<link>https://noise.getoto.net/2022/11/24/graph-for-fraud-detection/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 24 Nov 2022 00:13:40 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Fraud Detection]]></category>
		<category><![CDATA[Graph Networks]]></category>
		<category><![CDATA[Graph visualisation]]></category>
		<category><![CDATA[graphs]]></category>
		<category><![CDATA[security]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/graph-for-fraud-detection</guid>

					<description><![CDATA[Grab has grown rapidly in the past few years. It has expanded its business from ride hailing to food and grocery delivery, financial services, and more. Fraud detection is challenging in Grab, because new fraud patterns always arise whenever we introdu...]]></description>
		
		
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		<title>Graph Networks &#8211; 10X investigation with Graph Visualisations</title>
		<link>https://noise.getoto.net/2022/06/30/graph-networks-10x-investigation-with-graph-visualisations/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 30 Jun 2022 00:20:55 +0000</pubDate>
				<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Graph technology]]></category>
		<category><![CDATA[Graph visualisation]]></category>
		<category><![CDATA[Graphs concepts]]></category>
		<category><![CDATA[security]]></category>
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					<description><![CDATA[Introduction

Detecting fraud schemes used to require investigations using large amounts and varying types of data that come from many different anti-fraud systems. Investigators then need to combine the different types of data and use statistical meth...]]></description>
		
		
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