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Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)., 2004
With the advent of wireless networking and personal digital devices, the population of mobile users will increase significantly. Broadcasting is particularly suitable for environments having a large number of clients. In this paper, we study the query processing of some typical location-dependent queries, such as window queries and kNN queries, in a ...
ZHENG, Baihua +2 more
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With the advent of wireless networking and personal digital devices, the population of mobile users will increase significantly. Broadcasting is particularly suitable for environments having a large number of clients. In this paper, we study the query processing of some typical location-dependent queries, such as window queries and kNN queries, in a ...
ZHENG, Baihua +2 more
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Learned Index for Spatial Queries
2019 20th IEEE International Conference on Mobile Data Management (MDM), 2019With the pervasiveness of location-based services (LBS), spatial data processing has received considerable attention in the research of database system management. Among various spatial query techniques, index structures play a key role in data access and query processing.
Haixin Wang 0001 +3 more
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A spatial index for hybrid storage
Proceedings of the 23rd International Database Applications & Engineering Symposium on - IDEAS '19, 2019The introduction of flash SSDs has accelerated the performance of DBMSes. However, the intrinsic characteristics of flash motivated many researchers to investigate new efficient data structures. The emergence of 3DXPoint, a new non-volatile memory, sets new challenges: 3DXPoint features low latency and high IOPS even at small queue depths. However, the
Athanasios Fevgas, Panayiotis Bozanis
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Spatial indexing on tetrahedral meshes
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2010We address the problem of performing spatial queries on tetrahedral meshes. These latter arise in several application domains including 3D GIS, scientific visualization, finite element analysis. We have defined and implemented a family of spatial indexes, that we call tetrahedral trees.
DE FLORIANI, LEILA +2 more
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Spatial indexing in binary decomposition and spatial bounding
Information Systems, 1991Abstract In spatial database systems, data objects are of non-zero size and are associated with space coordinates. Efficient query retrieval on spatial relationships relies upon auxiliary data structures to support spatial indexing of these objects.
Beng Chin Ooi +2 more
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Spatial indexicalities and spatial pragmatics
2012This paper argues for a rapprochement between the two hitherto entirely separate linguistic research traditions that have as their topic the relationship of space and language. This is on the one hand research on spatial deixis, which focuses on how languages are equipped to deal with location and manoeuvring in space.
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Spatial Color Indexing and Applications
International Journal of Computer Vision, 1999We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors and when computed efficiently, turns out to be both effective and inexpensive for content-based image retrieval.
Jing Huang 0019 +4 more
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MeTree: A Metric Spatial Index
2020Metric Spaces model databases allowing similarity searching. e.g., looking for objects similar to a given one. Spatial databases are used to store and efficiently retrieve data with some spatial attribute. Some applications need to search both by similarity and space at the same time.
Adrián Planas +2 more
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Spatial Indexing with a Scale Dimension
1999It is frequently the case that spatial queries require a result set of objects whose scale - however this may be more precisely defined - is the same as that of the query window. In this paper we present an approach which considerably improves query performance in such cases.
Mike Hörhammer, Michael Freeston
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Spatial indexing and analytics on Hadoop
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014Effective processing of extremely large volumes of spatial data has led to many organizations employing distributed processing frameworks. Hadoop is one such open-source framework that is enjoying widespread adoption. In this paper, we detail an approach to indexing and performing key analytics on spatial data that is persisted in HDFS.
Randall T. Whitman +3 more
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