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Approximation Techniques for Indexing Two-Dimensional Constraint Databases  (Make Corrections)  
Elisa Bertino, Barbara Catania, Boris Chidlovskii
Database Systems for Advanced Applications



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Abstract: Constraint databases have recently been proposed as a powerful framework to model and retrieve spatial data. The use of constraint databases should be supported by access data structures that make effective use of secondary storage and reduce query processing time. In this paper, we consider the indexing problem for objects represented by conjunctions of two-variable linear constraints and we analyze the problem of determining all generalized tuples whose extension intersects or is contained in ... (Update)

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BibTeX entry:   (Update)

@inproceedings{ bertino99approximation,
    author = "Elisa Bertino and Barbara Catania and Boris Chidlovskii",
    title = "Approximation Techniques for Indexing Two-Dimensional Constraint Databases",
    booktitle = "Database Systems for Advanced Applications",
    pages = "213-220",
    year = "1999",
    url = "citeseer.ist.psu.edu/225781.html" }
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Indexing Constraint Databases by Using a Dual Representation - Bertino Catania.. (1999)   (Correct)
Generalized Relational Algebra: Modeling Spatial Queries in.. - Belussi, al. (1995)   (Correct)
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