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    <journal-meta>
      <journal-title-group>
        <journal-title>AIxPA</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Do for the Public Procurement?</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Rosa Meo</string-name>
          <email>rosa.meo@unito.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Roberto Nai</string-name>
          <email>roberto.nai@unito.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Paolo Pasteris</string-name>
          <email>paolo.pasteris@unito.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Università degli studi di Torino</institution>
          ,
          <addr-line>Via Verdi 8, 10124 Torino</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2022</year>
      </pub-date>
      <volume>22</volume>
      <issue>1</issue>
      <abstract>
        <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>
      </abstract>
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  </front>
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      <p>Rosa Meo is associate professor in Computer Science at the University of Torino. Her research
area is in the field of Data Mining, Machine Learning and NLP. She is active in the main
conference program committees and journal editorial boards related to Data Mining. The work
presented is the result of an active collaboration with prof. Gabriella Racca (Administrative</p>
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