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				<title level="a" type="main">What Can Machine Learning Do for the Public Procurement?</title>
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							<persName><forename type="first">Rosa</forename><surname>Meo</surname></persName>
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								<orgName type="institution">Università degli studi di Torino</orgName>
								<address>
									<addrLine>Via Verdi 8</addrLine>
									<postCode>10124</postCode>
									<settlement>Torino</settlement>
									<country key="IT">Italy</country>
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							<persName><forename type="first">Roberto</forename><surname>Nai</surname></persName>
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								<orgName type="institution">Università degli studi di Torino</orgName>
								<address>
									<addrLine>Via Verdi 8</addrLine>
									<postCode>10124</postCode>
									<settlement>Torino</settlement>
									<country key="IT">Italy</country>
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							<persName><forename type="first">Paolo</forename><surname>Pasteris</surname></persName>
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								<orgName type="institution">Università degli studi di Torino</orgName>
								<address>
									<addrLine>Via Verdi 8</addrLine>
									<postCode>10124</postCode>
									<settlement>Torino</settlement>
									<country key="IT">Italy</country>
								</address>
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						<title level="a" type="main">What Can Machine Learning Do for the Public Procurement?</title>
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						<idno type="ISSN">1613-0073</idno>
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<div xmlns="http://www.tei-c.org/ns/1.0"><p>We present the systematic work we conducted on the data about public procurement in Italy. The goal is to clean and integrate various public and open information sources and extract valuable information for the public sector and the companies interested in awarding a contract with the Public Administration. Included in the data analysis is the Regional Administrative Justice that receives recourses from the involved actors. This information coming from recourses is potentially useful for revealing some of the anomalies related to the incorrect behaviour of the partners. The obtained results can also make lighter the administrative judges' workload.</p></div>
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		<title level="a" type="main">associate professor in Computer Science at the University of Torino. Her research area is in the field of Data Mining</title>
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			<persName><forename type="first">Bio</forename><surname>Rosa</surname></persName>
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		<author>
			<persName><forename type="first">Meo</forename></persName>
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		<title level="m">main conference program committees and journal editorial boards related to Data Mining</title>
				<editor>
			<persName><forename type="first">Gabriella</forename><surname>Racca</surname></persName>
		</editor>
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			<publisher>Italian National Authority Anti Corruption</publisher>
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			<orgName>Administrative Law) and ANAC</orgName>
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	<note>Machine Learning and NLP. The work presented is the result of an active collaboration with prof</note>
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		<ptr target="http://informatica.unito.it/persone/roberto" />
		<title level="m">1st Workshop on AI for Public Administration</title>
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			<persName><forename type="first">P</forename><surname>Pasteris</surname></persName>
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		<meeting><address><addrLine>Udine</addrLine></address></meeting>
		<imprint>
			<date type="published" when="2022-12-02">December 2nd, 2022</date>
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	<note>, IT Envelope rosa</note>
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