[HTML][HTML] Hadoop-GIS: A high performance spatial data warehousing system over MapReduce
Support of high performance queries on large volumes of spatial data becomes increasingly
important in many application domains, including geospatial problems in numerous fields …
important in many application domains, including geospatial problems in numerous fields …
Efficient parallel kNN joins for large data in MapReduce
C Zhang, F Li, J Jestes - … of the 15th international conference on …, 2012 - dl.acm.org
In data mining applications and spatial and multimedia databases, a useful tool is the k NN
join, which is to produce the k nearest neighbors (NN), from a dataset S, of every point in a …
join, which is to produce the k nearest neighbors (NN), from a dataset S, of every point in a …
[BUKU][B] R-Trees: Theory and Applications: Theory and Applications
Space support in databases poses new challenges in every part of a database management
system & the capability of spatial support in the physical layer is considered very important …
system & the capability of spatial support in the physical layer is considered very important …
[BUKU][B] Handbook of data structures and applications
Although there are many advanced and specialized texts and handbooks on algorithms,
until now there was no book that focused exclusively on the wide variety of data structures …
until now there was no book that focused exclusively on the wide variety of data structures …
Spatial join techniques
EH Jacox, H Samet - ACM Transactions on Database Systems (TODS), 2007 - dl.acm.org
A variety of techniques for performing a spatial join are reviewed. Instead of just
summarizing the literature and presenting each technique in its entirety, distinct components …
summarizing the literature and presenting each technique in its entirety, distinct components …
Spatial joins: what's next?
The spatial join is a popular operation in spatial database systems and its evaluation is a
well-studied problem. This paper reviews research and recent trends on spatial join …
well-studied problem. This paper reviews research and recent trends on spatial join …
Sjmr: Parallelizing spatial join with mapreduce on clusters
MapReduce is a widely used parallel programming model and computing platform. With
MapReduce, it is very easy to develop scalable parallel programs to process data-intensive …
MapReduce, it is very easy to develop scalable parallel programs to process data-intensive …
A quadtree-based dynamic attribute indexing method
Dynamic attributes are attributes that change continuously over time making it impractical to
issue explicit updates for every change. In this paper, we adapt a variant of the quadtree …
issue explicit updates for every change. In this paper, we adapt a variant of the quadtree …
Epsilon grid order: An algorithm for the similarity join on massive high-dimensional data
The similarity join is an important database primitive which has been successfully applied to
speed up applications such as similarity search, data analysis and data mining. The …
speed up applications such as similarity search, data analysis and data mining. The …
Multiway spatial joins
Due to the evolution of Geographical Information Systems, large collections of spatial data
having various thematic contents are currently available. As a result, the interest of users is …
having various thematic contents are currently available. As a result, the interest of users is …