DocumentCode :
2369364
Title :
An algebra for inductive query evaluation
Author :
Lee, S.D. ; De Raedt, Luc
Author_Institution :
Inst. fur Inf., Freiburg Univ., Germany
fYear :
2003
fDate :
19-22 Nov. 2003
Firstpage :
147
Lastpage :
154
Abstract :
Inductive queries are queries that generate pattern sets. We study properties of Boolean inductive queries, i.e. queries that are Boolean expressions over monotonic and antimonotonic constraints. More specifically, we introduce and study algebraic operations on the answer sets of such queries and show how these can be used for constructing and optimizing query plans. Special attention is devoted to the dimension of the queries, i.e. the minimum number of version spaces needed to represent the answer sets. The framework has been implemented for the pattern domain of strings and experimentally validated.
Keywords :
Boolean algebra; constraint theory; data mining; query processing; Boolean expression; algebraic operation; antimonotonic constraint; inductive query evaluation; monotonic constraint; query plan optimization; Algebra; Data mining; Database systems; Query processing; Relational databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining, 2003. ICDM 2003. Third IEEE International Conference on
Print_ISBN :
0-7695-1978-4
Type :
conf
DOI :
10.1109/ICDM.2003.1250914
Filename :
1250914
Link To Document :
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