Spatial query processing in an object-oriented database system
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Multi-step processing of spatial joins
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
View maintenance issues for the chronicle data model (extended abstract)
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Balancing histogram optimality and practicality for query result size estimation
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Data mining: concepts and techniques
Data mining: concepts and techniques
Processing complex aggregate queries over data streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Proceedings of the Ninth International Conference on Data Engineering
A Raster Approximation For Processing of Spatial Joins
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Recovering Information from Summary Data
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Time-Interval Sampling for Improved Estimations in Data Warehouses
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Implementation of the ROSE Algebra: Efficient Algorithms for Realm-Based Spatial Data Types
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Efficient Processing of Large Spatial Queries Using Interior Approximations
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Time-Stratified Sampling for Approximate Answers to Aggregate Queries
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Toward Spatial Joins for Polygons
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
Approximation techniques for spatial data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
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Traditional query processing provides exact answers to queries trying to maximize throughput while minimizing response time. However, in many applications the response time of exact answers is often longer than what is acceptable. Approximate query processing has emerged as an alternative approach to give to the user an answer in a shorter time than the traditional approach. The goal is to provide an estimated result very close to the exact answer, along with a confidence interval, in a short time. There is a large set of techniques for approximate query processing available in different research areas. However most of them are only suitable for traditional data. This work is concerned with approximate query processing in spatial databases. We propose a new algorithm to estimate the overlapping area of polygon join using raster signatures. We executed experimental tests over real world data sets, and the results demonstrated our approach effectiveness.