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Third IEEE International Conference on Data Mining (ICDM'03)
An Algebra for Inductive Query Evaluation
Melbourne, Florida
November 19-November 22
ISBN: 0-7695-1978-4
Sau Dan Lee, Universit?t Freiburg, Germany
Luc De Raedt, Universit?t Freiburg, Germany
Inductive queries are queries that generate pattern sets. This paper studies properties of boolean inductive queries, i.e. queries that are boolean expressions over monotonic and anti-monotonic 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.
Citation:
Sau Dan Lee, Luc De Raedt, "An Algebra for Inductive Query Evaluation," icdm, pp.147, Third IEEE International Conference on Data Mining (ICDM'03), 2003
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