Retrieval of Very Large Temporal Datasets for Interactive Tasks

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Alexandre Carvalho (Autor) FEUP; Oliveira, MA (Autor) Outra; Rocha, A (Autor) Outra

Ata de Conferência Internacional

Título: PROCEEDINGS OF THE 2013 8TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2013)

8th Iberian Conference on Information Systems and Technologies (CISTI)

Lisboa, PORTUGAL, JUN 19-22, 2013

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-008-GZK

Abstract (EN): Many tasks dealing with temporal data, such as interactive browse through temporal datasets, require intensive retrieval from the database. Depending on the user's task, the data retrieved may be too large to fit in the local memory. Even if it fits, the time taken to retrieve the data may compromise user interaction. This work proposes a method, TravelLight, which improves interactive traveling across very large temporal datasets by exploring the temporal consistency of data items. The proposed method consists of two algorithms: the data retrieval and the memory management algorithm, both contributing to improve memory usage and, most important, to reduce the turnaround time. Results are reported concerning experiments with a temporally linear navigation across two datasets of one million items, which differ in the average time span of items. With the obtained results it is possible to conclude that the proposed method reduces turnaround time thus enhancing the response of interactive tasks over very large temporal datasets.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6