Results 241 to 250 of about 4,071,491 (285)

Join strategies using data space partitioning

open access: yesNew Generation Computing, 1988
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Esen A. Ozkarahan, Cem H. Bozsahin
exaly   +4 more sources

Join space graphs

Journal of Geometry, 1988
A join space is an abstract model for partially ordered linear, spherical and projective geometries. A connected graph is a join space if and only if it is a strong prime convex intersection graph.
exaly   +2 more sources

Bases in semilinear spaces over join-semirings

Fuzzy Sets and Systems, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xue-Ping Wang
exaly   +3 more sources

Transform-space view: performing spatial join in the transform space using original-space indexes

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2006
Spatial joins find all pairs of objects that satisfy a given spatial relationship. In spatial joins using indexes, original-space indexes such as the R-tree are widely used.
Wook-Shin Han, Kyu-Young Whang
exaly   +2 more sources

Similarity Join in Metric Spaces

2003
Similarity join in distance spaces constrained by the metric postulates is the necessary complement of more famous similarity range and the nearest neighbors search primitives. However, the quadratic computational complexity of similarity joins prevents from applications on large data collections.
Dohnal V, Gennaro C, Savino P, Zezula P
openaire   +4 more sources

Quicker Similarity Joins in Metric Spaces

2013
We consider the join operation in metric spaces. Given two sets A and B of objects drawn from some universe $\mathbb U$ , we want to compute the set $A \Join B = \{a,b \in A \times B\;|\;da,b \leq r\}$ efficiently, where $d : \mathbb U \times \mathbb U \to \mathbb R^+$ is a metric distance function and r∈ℝ+ is user supplied query ...
Braithwaite Billy, Fredriksson Kimmo
openaire   +1 more source

Database Similarity Join for Metric Spaces

2013
Similarity Joins are recognized among the most useful data processing and analysis operations. They retrieve all data pairs whose distances are smaller than a predefined threshold e. While several standalone implementations have been proposed, very little work has addressed the implementation of Similarity Join as a physical database operator.
Yasin N. Silva   +2 more
openaire   +1 more source

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