Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "4899"
  #_source: array:26 [
    "id" => "4899"
    "slug" => "multidimensional-schemas-quality-assessment"
    "yearMonth" => "2003-06"
    "year" => "2003"
    "title" => "Multidimensional Schemas Quality Assessment"
    "description" => "PRAT, N. et SI-SAID CHERFI, S. (2003). Multidimensional Schemas Quality Assessment. Dans: <i>Information Systems for a Connected Society (CAISE'03 Workshops)</i>. Klagenfurt/Velden:  University of Maribor Press (Slovenia), pp. 341-352."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "PRAT Nicolas"
        "bid" => "B00000434"
        "slug" => "prat-nicolas"
      ]
      1 => array:1 [
        "name" => "SI-SAID CHERFI S."
      ]
    ]
    "ouvrage" => "Information Systems for a Connected Society (CAISE'03 Workshops)"
    "keywords" => []
    "updatedAt" => "2021-04-19 17:57:25"
    "publicationUrl" => "https://www.researchgate.net/publication/220921221_Multidimensional_Schemas_Quality_Assessment"
    "publicationInfo" => array:3 [
      "pages" => "341-352"
      "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" => "Un entrepôt de données est une base de données dédiée à la prise de décision. Généralement, les décideurs accèdent aux entrepôts de données par des outils OLAP, via une représentation multidimensionnelle des données. Par conséquent, la qualité des schémas multidimensionnels est cruciale. Dans cet article, nous présentons une approche d'évaluation de la qualité des schémas multidimensionnels. Nous détaillons et illustrons quelques critères et métriques associés à notre approche."
      "en" => "A data warehouse is a database dedicated to decision making. Decision makers usually access data warehouses with OLAP tools, based on a multidimensional representation of data. Therefore, the quality of multidimensional schemas is crucial. In this paper, we present an approach for multidimensional schemas quality assessment. We detail and exemplify some criteria and metrics associated with our approach."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2024-11-23T09:21:42.000Z"
    "docTitle" => "Multidimensional Schemas Quality Assessment"
    "docSurtitle" => "Conference Proceedings"
    "authorNames" => "<a href="/cv/prat-nicolas">PRAT Nicolas</a>, SI-SAID CHERFI S."
    "docDescription" => "<span class="document-property-authors">PRAT Nicolas, SI-SAID CHERFI S.</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2003</span>"
    "keywordList" => ""
    "docPreview" => "<b>Multidimensional Schemas Quality Assessment</b><br><span>2003-06 | Conference Proceedings </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://www.researchgate.net/publication/220921221_Multidimensional_Schemas_Quality_Assessment" target="_blank">Multidimensional Schemas Quality Assessment</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 8.836839
  +"parent": null
}