Proceedings of the Fifth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data

The current trends in technology such as mobile phones, tablet devices, stationary sensors, satellites and IOT devices, motivate users voluntarily sharing their information, produce a huge flood of geo-spatial data enriched by multiple types of information or contexts, such as social, text, temporal...

Descripción completa

Detalles Bibliográficos
Autor Corporativo: Association for Computing Machinery-Digital Library, author, issuing body (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York, NY : ACM 2018.
Colección:ACM Conferences
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009713804906719
Descripción
Sumario:The current trends in technology such as mobile phones, tablet devices, stationary sensors, satellites and IOT devices, motivate users voluntarily sharing their information, produce a huge flood of geo-spatial data enriched by multiple types of information or contexts, such as social, text, temporal data, multimedia data, and scientific measurements. This data flood provides a tremendous potential of discovering new and useful knowledge. The novel research challenge is to search and mine this wealth of multi-enriched geo-spatial data.
Descripción Física:1 online resource (31 pages)