Zobrazeno 1 - 10
of 53
pro vyhledávání: '"SpatialHadoop"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-14 (2023)
Abstract SpatialHadoop could handle spatial data operations in a low partitioning execution time compared to the traditional Hadoop. However, developing an efficient and an accurate partitioning algorithm is still a research field opened to many rese
Externí odkaz:
https://doaj.org/article/cb7fa5ecb84c4bc5a84ddd5d75a7b701
Akademický článek
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Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 4, p 201 (2020)
In recent years, several extensions of the Hadoop system have been proposed for dealing with spatial data. SpatialHadoop belongs to this group of projects and includes some MapReduce implementations of spatial operators, like range queries and spatia
Externí odkaz:
https://doaj.org/article/94befa75e36a4841bc32c4f201e6a8dd
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 9:1765-1779
Traveling is part of many people leisure activities and an increasing fraction of the economy comes from the tourism. Given a destination, the information about the different attractions, or points of interest (POIs), can be found on many sources. Am
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 5, p 179 (2018)
Among spatial information applications, SpatialHadoop is one of the most important systems for researchers. Broad analyses prove that SpatialHadoop outperforms the traditional Hadoop in managing distinctive spatial information operations. This paper
Externí odkaz:
https://doaj.org/article/aadca636b45147cf83e366445df43e4a
Publikováno v:
BigSpatial@SIGSPATIAL
The increasing amount of available spatial data leads to the development and spread of big data systems specifically tailored for the management and process of such kind of information. These systems usually apply a MapReduce paradigm which essential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73de82a61201fdd4fbfce4a546423b80
http://hdl.handle.net/11562/1002422
http://hdl.handle.net/11562/1002422
Publikováno v:
ISPRS International Journal of Geo-Information
Volume 9
Issue 4
ISPRS International Journal of Geo-Information, Vol 9, Iss 201, p 201 (2020)
Volume 9
Issue 4
ISPRS International Journal of Geo-Information, Vol 9, Iss 201, p 201 (2020)
In recent years, several extensions of the Hadoop system have been proposed for dealing with spatial data. SpatialHadoop belongs to this group of projects and includes some MapReduce implementations of spatial operators, like range queries and spatia
Spatial join is an important operation in geo-spatial applications, since it is frequently used for performing data analysis involving geographical information. Many efforts have been done in the past decades in order to provide efficient algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b74a190b7e367f7ca958e34d54314396
http://hdl.handle.net/11562/1021659
http://hdl.handle.net/11562/1021659
Publikováno v:
Sensors; Volume 22; Issue 5; Pages: 1748
The unprecedented development of Internet of Things (IoT) technology produces humongous amounts of spatio-temporal sensing data with various geometry types. However, processing such datasets is often challenging due to high-dimensional sensor data ge
The amount of available spatial data has significantly increased in the last years so that traditional analysis tools have become inappropriate to effectively manage them. Therefore, many attempts have been made in order to define extensions of exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec34dd9606c41855a8b139c7f08bdf31
http://hdl.handle.net/11311/1072884
http://hdl.handle.net/11311/1072884