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» A framework for testing query transformation rules
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SIGMOD
2009
ACM
114views Database» more  SIGMOD 2009»
14 years 4 months ago
A framework for testing query transformation rules
In order to enable extensibility, modern query optimizers typically leverage a transformation rule based framework. Testing individual rule correctness as well as correctness of r...
Hicham G. Elmongui, Vivek R. Narasayya, Ravishanka...
ICDE
2010
IEEE
172views Database» more  ICDE 2010»
13 years 11 months ago
Rule profiling for query optimizers and their implications
—Many modern optimizers use a transformation rule based framework. While there has been a lot of work on identifying new transformation rules, there has been little work focused ...
Surajit Chaudhuri, Leo Giakoumakis, Vivek R. Naras...
GEOS
2009
Springer
13 years 9 months ago
SPARQL Query Re-writing Using Partonomy Based Transformation Rules
Abstract. Often the information present in a spatial knowledge base is represented at a different level of granularity and abstraction than the query constraints. For querying onto...
Prateek Jain, Peter Z. Yeh, Kunal Verma, Cory A. H...
SIGMOD
2002
ACM
141views Database» more  SIGMOD 2002»
13 years 4 months ago
Bringing Order to Query Optimization
A variety of developments combine to highlight the need for respecting order when manipulating relations. For example, new functionality is being added to SQL to support OLAP-styl...
Giedrius Slivinskas, Christian S. Jensen, Richard ...
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
13 years 8 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...