Work

EsmamDS: A more diverse exceptional survival model mining approach

Year: 2024

Type: article

Source: Information Sciences

DOI: 10.1016/j.ins.2024.121549

Authors: Renato Vimieiro, Juliana Barcellos Mattos, Paulo S.G. de Mattos Neto

Institutions: Universidade Federal de Minas Gerais, Universidade Federal de Pernambuco

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico

OpenAlex ID: W4403472795

FWCI: 0.379

Cites: 49

Cited by: 1

Related to: 10