Retrieval of Very Large Temporal Datasets for Interactive Tasks

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Alexandre Carvalho (Author) FEUP; Oliveira, MA (Author) Other; Rocha, A (Author) Other

Conference proceedings International

Title: 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

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ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6