| Texto completo | |
| Autor(es): |
Traina, Agma J. M.
[1]
;
Brinis, Safia
[1]
;
Pedrosa, V, Glauco
;
Avaihais, Letricia P. S.
[1]
;
Traina Jr, Caetano
Número total de Autores: 5
|
| Afiliação do(s) autor(es): | [1] Univ Sao Paulo, Inst Math & Comp Sci, Comp Sci Dept, Sao Carlos, SP - Brazil
Número total de Afiliações: 1
|
| Tipo de documento: | Artigo Científico |
| Fonte: | INFORMATION SYSTEMS; v. 86, p. 10-27, DEC 2019. |
| Citações Web of Science: | 0 |
| Resumo | |
The amount and variety of digital data currently being generated, stored and analyzed, including images, videos, and time series, have brought challenges to data administrators, analysts and developers, who struggle to comply with the expectations of both data owners and end users. The majority of the applications demand searching complex data by taking advantage of queries that analyze different aspects of the data, and need the answers in a timely manner. Content-based similarity retrieval techniques are well-suited to handle large databases, because they enable performing queries and analyses using features automatically extracted from the data, without users' intervention. In this paper, we review and discuss the challenges posed to the database and related communities in order to provide techniques and tools that can meet the variety and veracity characteristics of big and complex data, while also considering the aspects of semantical preservation and completeness of the data. Examples and results obtained over a two-decade-long experience with real applications are presented and discussed. (C) 2019 Elsevier Ltd. All rights reserved. (AU) | |
| Processo FAPESP: | 16/17078-0 - Mineração, indexação e visualização de Big Data no contexto de sistemas de apoio à decisão clínica (MIVisBD) |
| Beneficiário: | Agma Juci Machado Traina |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 13/27101-1 - Uma abordagem para segmentação semântica explorando a multimodalidade e temporalidade de características de vídeos digitais |
| Beneficiário: | Letrícia Pereira Soares Avalhais |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |