Data Mining and Official Statistics:The Past, the Present and the Future

Hossein Hassani (1) , Gilbert Saporta (2) , Emmanuel Sirimal Silva

1 BU - Bournemouth University [Poole]
2 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage

Along with the increasing availability of large databases under the purview of National Statistical Institutes, the application of data mining techniques to official statistics is now a hot topic that is far more important at present than it was ever before. Presented in this article is a thorough review of published work to date on the application of data mining in official statistics, and on identification of the techniques that have been explored. In addition, the importance of data mining to official statistics is flagged and a summary of the challenges that have hindered its development over the course of the last two decades is presented.

Mots clés: Official statistics; Data Mining

Mots clés: Exploration de données; Statistiques officielles

Domaines: Informatique [cs]; Statistiques [math.ST]

Hossein Hassani, Gilbert Saporta, Emmanuel Sirimal Silva. Data Mining and Official Statistics:The Past, the Present and the Future. Big Data, 2014, 2 (1), pp.1-9. ⟨10.1089/big.2013.0038⟩. ⟨hal-01126373⟩