A model of approximations for representing time-varying multidimensional data

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2008

Autores

José Moreira (Autor) Outra; Cristina Ribeiro (Autor) FEUP; Jean-Marc Saglio (Autor) Outra; Michel Scholl (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of the 2008 IEEE 24th International Conference on Data Engineering Workshop

Páginas: 113-120

The 1st international workshop on data and services management in mobile environments (DS2ME’08) in conjunction with IEEE 24th International Conference on Data Engineering Workshop (ICDEW 2008)

Cancún, México, 7 April, 2008

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Físicas > Ciência de computadores > Gestão de bases de dados

Outras Informações

ID Authenticus: P-004-58X

DOI: 10.1109/ICDEW.2008.4498302

Abstract (EN): The widespread use of new technologies for data acquisition and communications is disclosing large amounts of time-varying data that organizations wish to use for monitoring or decision support purposes. The efficient management of such large data sets depends largely on the use of appropriate data structures and access methods. This issue is an important topic of research in the spatiotemporal databases community. This paper presents a novel approach for the representation of large series of time-varying multidimensional data. It is based on a model of approximations that allows creating a hierarchical data structure by using different degrees of precision for each level. The hierarchical data structure allows representing an instance of a single series of discretely or continuously changing data as an abstract data type. The paper also shows how to use this approach to represent the movement of an object within a spatiotemporal database system.

Idioma: Inglês

Tipo (Avaliação Docente): Científica