logo EDITE Adel BENAISSA
Identité
Adel BENAISSA
État académique
Thèse soutenue le 2017-03-02
Sujet: Gestion de données incertaines et la privées dans le crowdsourcing
Direction de thèse:
Encadrement de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-01224226
Indexing Uncertain Categorical Data over Distributed Environment
International audience
Today, a large amount of uncertain data is produced by several applications where the management systems of traditional databases incuding indexing methods are not suitable to handle such type of data. In this paper, we propose an inverted based index method for effciently searching uncertain categorical data over distributed environments. We adress two kinds of query over the distributed uncertain databases, one a distributed probabilis-tic thresholds query, where all results sastisfying the query with probablities that meet a probablistic threshold requirement are returned, and another a distributed top k-queries, where all results optimizing the transfer of the tuples and the time treatment are returned.
Atlantis Press The 16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology https://hal.archives-ouvertes.fr/hal-01224226 The 16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology , Jun 2015, Gijon Spain. Atlantis Press, 2015, <http://www.atlantis-press.com/php/pub.php?publication=ifsa-eusflat-15>. <10.2991/ifsa-eusflat-15.2015.197 > http://www.atlantis-press.com/php/pub.php?publication=ifsa-eusflat-15ARRAY(0x7f03fedad3c0) 2015-06-30
Soutenance
Thèse: Gestion de données incertaines et privées dans le crowdsourcing
Soutenance: 2017-03-02