Quality management in social business intelligence projects
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
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INVESTIGACIONMetadades
Títol
Quality management in social business intelligence projectsData de publicació
2021Editor
SciTePress Science and Technology PublicationsISBN
9789897585098ISSN
2184-4992Cita bibliogràfica
Aramburu, M.; Berlanga, R. and Lanza-Cruz, I. (2021). Quality Management in Social Business Intelligence Projects. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 320-327Tipus de document
info:eu-repo/semantics/conferenceObjectVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Social networks have become a new source of useful information for companies. Increasing the value of social data requires, first, assessing and improving the quality of the relevant data and, subsequently, developing ... [+]
Social networks have become a new source of useful information for companies. Increasing the value of social data requires, first, assessing and improving the quality of the relevant data and, subsequently, developing practical solutions that apply them in business intelligence tasks. This paper focuses on the Twitter social network and the processing of social data for business intelligence projects. With this purpose, the paper starts by defining the special requirements of the analysis cubes of a Social Business Intelligence (SoBI) project and by reviewing previous work to demonstrate the lack of valid approaches to this problem. Afterwards, we present a new data processing method for SoBI projects whose main contribution is a phase of data exploration and profiling that serves to build a quality data collection with respect to the analysis objectives of the project. [-]
Publicat a
Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS 2021) - Volume 1Entitat finançadora
Ministerio de Industria y Comercio | Universitat Jaume I
Codi del projecte o subvenció
TIN2017-88805-R | PREDOC/2017/28
Drets d'accés
info:eu-repo/semantics/openAccess