Despite of the fact that large line segment datasets are appearing more and more frequently in numerous applications involving spatial data, such as GIS, multimedia, and even traditional databases, most of the analysis for estimating the selectivity of window queries posed on spatial data--the most important parameter for query optimization--has focused on point or region data only
Spatial Database Management Systems (SDBMS), e.g., Ge-ographical Information Systems, that manage sp...
In this paper, we motivate four different user defined window query classes and derive a probabilist...
Selectivity estimation of queries not only provides useful information to the query processing optim...
textabstractSeveral studies have focused on the efficient processing of simple spatial query types s...
Several studies have focused on the efficient processing of simple spatial query types such as selec...
This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window que...
This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window que...
This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window que...
Query optimization is an important functionality of modern database systems and often based on estim...
Spatial sampling is a significant part of query processing in spatial database. In this paper, an ad...
Spatial Database Management Systems (SDBMS), e.g., Geographical Information Systems, that manage ...
The paper presents a new approach for estimating selectivity of range queries and spatial join on sp...
Several studies have focused on the efficient processing of simple spatial query types such as selec...
Abstract. Query optimization is an important functionality of mod-ern database systems and often bas...
We examine the estimation of selectivities for range and spatial join queries in real spatial databa...
Spatial Database Management Systems (SDBMS), e.g., Ge-ographical Information Systems, that manage sp...
In this paper, we motivate four different user defined window query classes and derive a probabilist...
Selectivity estimation of queries not only provides useful information to the query processing optim...
textabstractSeveral studies have focused on the efficient processing of simple spatial query types s...
Several studies have focused on the efficient processing of simple spatial query types such as selec...
This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window que...
This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window que...
This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window que...
Query optimization is an important functionality of modern database systems and often based on estim...
Spatial sampling is a significant part of query processing in spatial database. In this paper, an ad...
Spatial Database Management Systems (SDBMS), e.g., Geographical Information Systems, that manage ...
The paper presents a new approach for estimating selectivity of range queries and spatial join on sp...
Several studies have focused on the efficient processing of simple spatial query types such as selec...
Abstract. Query optimization is an important functionality of mod-ern database systems and often bas...
We examine the estimation of selectivities for range and spatial join queries in real spatial databa...
Spatial Database Management Systems (SDBMS), e.g., Ge-ographical Information Systems, that manage sp...
In this paper, we motivate four different user defined window query classes and derive a probabilist...
Selectivity estimation of queries not only provides useful information to the query processing optim...