Concrete mathematics: a foundation for computer science
Concrete mathematics: a foundation for computer science
Efficient processing of spatial joins using R-trees
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Spatial joins using seeded trees
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Multidimensional access methods
ACM Computing Surveys (CSUR)
Selectivity estimation of Window queries for line segment datasets
Proceedings of the seventh international conference on Information and knowledge management
Processing and optimization of multiway spatial joins using R-trees
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Implications of certain assumptions in database performance evauation
ACM Transactions on Database Systems (TODS)
Chorochronos: a research network for spatiotemporal database systems
ACM SIGMOD Record
A data model and data structures for moving objects databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
An introduction to spatial database systems
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
Accurate Modeling of Region Data
IEEE Transactions on Knowledge and Data Engineering
Estimating the Selectivity of Spatial Queries Using the `Correlation' Fractal Dimension
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
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In this paper we provide a theoretical framework for estimating the size of the intersection join between two line segment datasets (e.g., roads, railways, utilities). For real datasets, it has been pointed out that the line segment lengths and slopes are distributed according to specific mathematical laws [14]. Starting from this result, we show how to predict the size of the intersection join between two line segment datasets. We evaluate our formula through several experimentations, showing that the estimation is accurate, as compared to that obtained by using a naive uniform model.