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Abstract: Time-referenced data are pervasive in most real-world databases. Recent advances in temporal query languages show that such database applications may benefit substantially from built-in temporal support in the DBMS. To achieve this, temporal query optimization and evaluation mechanisms must be provided, either within the DBMS proper or as a source level translation from temporal queries to conventional SQL. This paper proposes a new approach: using a middleware component on top of a... (Update)
Context of citations to this paper: More
...but still efficient selectivity estimation and cost prediction are the fundamentals of effective query optimization. As pointed out in [28], standard selectivity estimation does not estimate well the result cardinalities of selections having temporal predicates, and standard...
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BibTeX entry: (Update)
Slivinskas G., Jensen C. S., Snodgrass R. T.: Adaptable Query Optimization and Evaluation in Temporal Middleware. Proc. ACM SIGMOD, 127-138, 2001. http://citeseer.ist.psu.edu/article/slivinskas01adaptable.html More
@inproceedings{ slivinskas01adaptable,
author = "Giedrius Slivinskas and Christian S. Jensen and Richard T. Snodgrass",
title = "Adaptable Query Optimization and Evaluation in Temporal Middleware",
booktitle = "{SIGMOD} Conference",
year = "2001",
url = "citeseer.ist.psu.edu/article/slivinskas01adaptable.html" }
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Documents on the same site (http://www.cs.auc.dk/NDB/phd_projects/giedrius.html):
A Foundation for Conventional and Temporal Query.. - Slivinskas, Jensen.. (2000) (Correct)
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