Leveraging feature selection to detect potential tax fraudsters

Autor: Matos, Tales ^{⁎, a}, Macedo, Jose Antonio ^a, Lettich, Francesco ^c, Monteiro, Jose Maria ^a, Renso, Chiara ^b, Perego, Raffaele ^b, Nardini, Franco Maria ^b

Publikováno v: In Expert Systems With Applications 1 May 2020 145

Exploring quality measures for the evaluation of feature models: a case study

Autor: Bezerra, Carla I.M. ^{⁎, a, b, c}, Andrade, Rossana M.C. ^{1, a, c}, Monteiro, Jose Maria ^c

Publikováno v: In The Journal of Systems & Software September 2017 131:366-385

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Enxaqueca Crónica e Refratária: Como Diagnosticar e Tratar. (Portuguese)

Autor: PARREIRA, Elsa, LUZEIRO, Isabel, PEREIRA MONTEIRO, José Maria

Publikováno v: Acta Médica Portuguesa; Nov2020, Vol. 33 Issue 11, p753-760, 8p

ARe-SQL: An Online, Automatic and Non-Intrusive Approach for Rewriting SQL Queries

Autor: Araújo, Arlino H. M. de, Monteiro, José Maria, Macêdo, José Antônio F. de, Tavares, Júlio A., Brayner, Angelo, Lifschitz, Sérgio

Publikováno v: Journal of Information and Data Management; Vol 5 No 1 (2014): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 28
Journal of Information and Data Management; v. 5 n. 1 (2014): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 28
Journal of Information and Data Management; v. 5, n. 1 (2014): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 28

Database applications have become very complex, dealing with a huge volume of data and database objects. Concurrently, low query response time and high transaction throughput have emerged as mandatory requirements. Among other possible interventions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::302ffb1c8006bfdf01d2dce535f74a23
https://seer.ufmg.br/index.php/jidm/article/view/250