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Spatio-Temporal data mining: From big data to patterns

Year: 2016

Type: conference-paper

Abstract: Technological advances in terms of data acquisition enable to better monitor dynamic phenomena in various domains (areas, fields) including environment. The collected data is more and more complex - spatial, temporal, heterogeneous and multi-scale. Exploiting this data requires new data analysis and knowledge discovery methods. In that context, approaches aimed at discovering spatio-Temporal patterns are particularly relevant. This paper1 focuses on spatio-Temporal data and associated data mining methods.

Source: HAL

Author: Teisseire, Maguelonne

Institution: Territoires, Environnement, Télédétection et Information Spatiale

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2579253286

FWCI:

Cites: 4

Cited by:

Related to: 10