Relating Big Data and Data Quality in Financial Service Organizations

Autor: Wahyudi, A., Farhani, Adiska, Janssen, M.F.W.H.A., Mäntymäki, Matti, Al-Sharhan, Salah A., Simintiras, Antonis C., Tahat, Luay, Moughrabi, Issam, Ali, Taher M., Janssen, Marijn, Dwivedi, Yogesh K., Rana, Nripendra P.

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030021306
I3E
Proceedings of 17th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2018, Proceedings: Challenges and Opportunities in the Digital Era
Proceedings of 17th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2018, Proceedings

Today’s financial service organizations have a data deluge. A number of V’s are often used to characterize big data, whereas traditional data quality is characterized by a number of dimensions. Our objective is to investigate the complex relation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5a12839c6e07791208ceb9e8a7b20d0
https://doi.org/10.1007/978-3-030-02131-3_45

New Dual Parameter Quasi-Newton Methods for Unconstrained Nonlinear Programs

Autor: Moughrabi, Issam, Askary, Saeed

Publikováno v: International Journal of Strategic Decision Sciences (IJSDS); July 2019, Vol. 10 Issue: 3 p74-94, 21p