Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "4869"
  #_source: array:26 [
    "id" => "4869"
    "slug" => "measuring-data-believability-a-provenance-approach"
    "yearMonth" => "2008-01"
    "year" => "2008"
    "title" => "Measuring Data Believability: A Provenance Approach"
    "description" => "PRAT, N. et MADNICK, S. (2008). Measuring Data Believability: A Provenance Approach. Dans: <i>Proceedings of the 41st Hawaii International Conference on System Sciences (HICSS-41)</i>. Waikoloa:  Institute of Electrical and Electronics Engineers (IEEE), pp. 1-10."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "PRAT Nicolas"
        "bid" => "B00000434"
        "slug" => "prat-nicolas"
      ]
      1 => array:1 [
        "name" => "MADNICK S."
      ]
    ]
    "ouvrage" => "Proceedings of the 41st Hawaii International Conference on System Sciences (HICSS-41)"
    "keywords" => array:4 [
      0 => "Crédibilité"
      1 => "Métriques"
      2 => "Provenance"
      3 => "Qualité des données"
    ]
    "updatedAt" => "2021-04-19 17:57:25"
    "publicationUrl" => "https://doi.org/10.1109/HICSS.2008.243"
    "publicationInfo" => array:3 [
      "pages" => "1-10"
      "volume" => null
      "number" => null
    ]
    "type" => array:2 [
      "fr" => "Actes d'une conférence"
      "en" => "Conference Proceedings"
    ]
    "support_type" => array:2 [
      "fr" => "Editeur"
      "en" => "Publisher"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Cet article se concentre sur la crédibilité, un aspect majeur de la qualité des données. Notre approche se fonde sur la provenance des données. Nous présentons notre modèle de provenance ainsi que notre approche de calcul de la crédiblité des données. Cette approche est fondée sur la définiton de métriques et leur aggrégation afin d'obtenir une crédibilité globale."
      "en" => "This paper focuses on believability, a major aspect of data quality. Our approach is based on data provenance. We present our provenance model and our appproach for computing data believablity. This approach is based on the definition of metrics which are then aggregated to obtain a global believability."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2024-12-03T17:21:44.000Z"
    "docTitle" => "Measuring Data Believability: A Provenance Approach"
    "docSurtitle" => "Conference Proceedings"
    "authorNames" => "<a href="/cv/prat-nicolas">PRAT Nicolas</a>, MADNICK S."
    "docDescription" => "<span class="document-property-authors">PRAT Nicolas, MADNICK S.</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2008</span>"
    "keywordList" => "<a href="#">Crédibilité</a>, <a href="#">Métriques</a>, <a href="#">Provenance</a>, <a href="#">Qualité des données</a>"
    "docPreview" => "<b>Measuring Data Believability: A Provenance Approach</b><br><span>2008-01 | Conference Proceedings </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1109/HICSS.2008.243" target="_blank">Measuring Data Believability: A Provenance Approach</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 9.208137
  +"parent": null
}