Machine Learning on Blockchain Data: A Systematic Mapping Study

Autor: Palaiokrassas, Georgios, Bouraga, Sarah, Tassiulas, Leandros

Context: Blockchain technology has drawn growing attention in the literature and in practice. Blockchain technology generates considerable amounts of data and has thus been a topic of interest for Machine Learning (ML). Objective: The objective of th

Externí odkaz: http://arxiv.org/abs/2403.17081

Business intelligence and cognitive loads: Proposition of a dashboard adoption model

Autor: Burnay, Corentin, Lega, Mathieu, Bouraga, Sarah

Publikováno v: In Data & Knowledge Engineering July 2024 152

Modelling Requirements for Content Recommendation Systems

Autor: Bouraga, Sarah, Jureta, Ivan, Faulkner, Stéphane

This paper addresses the modelling of requirements for a content Recommendation System (RS) for Online Social Networks (OSNs). On OSNs, a user switches roles constantly between content generator and content receiver. The goals and softgoals are diffe

Externí odkaz: http://arxiv.org/abs/1606.05746

User-Experience in Business Intelligence:A Quality Construct and Model to Design Supportive BI Dashboards

Autor: Burnay, Corentin, Bouraga, Sarah, Faulkner, Stéphane, Jureta, Ivan

Publikováno v: Burnay, C, Bouraga, S, Faulkner, S & Jureta, I 2020, User-Experience in Business Intelligence : A Quality Construct and Model to Design Supportive BI Dashboards . in F Dalpiaz, J Zdravkovic & P Loucopoulos (eds), Research Challenges in Information Science : 14th International Conference, RCIS 2020, Proceedings . Lecture Notes in Business Information Processing, vol. 385 LNBIP, Springer, pp. 174-190, 14th International Conference on Research Challenges in Information Sciences, RCIS 2020, Limassol, Cyprus, 23/09/20 . https://doi.org/10.1007/978-3-030-50316-1_11

Business Intelligence (BI) intends to provide business managers with timely information about their company. Considerable research effort has been devoted to the modeling and specification of BI systems, with the objective to improve the quality of r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4291::8260b4b12dc6ee6fd9d41e67596d75af
https://pure.unamur.be/ws/files/50837875/Action_Research_in_BI_Dashboard_RCIS_20.pdf

Representation of rules for relevant recommendations to online social networks users.

Autor: Bouraga, Sarah, Jureta, Ivan, Faulkner, Stephane

Publikováno v: 2015 IEEE Second International Workshop on Artificial Intelligence for Requirements Engineering (AIRE); 2015, p1-8, 8p