Improvements on a Heuristic Algorithm for Multiple-Query Optimization

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Multiple-query processing has received a lot of attention recently. The problem arises in many areas, such as extended relational database systems and deductive systems. In this paper we describe a heuristic search algorithm for this problem. This algorithm uses an improved heuristic function that enables it to expand only a small fraction of the nodes expanded by an algorithm that has been proposed in the past. In addition, it handles implied relationships without increasing the size of the search space or the number of nodes generated in this space. We include both theoretical analysis and experimental results to demonstrate the utility of the algorithm.
Publisher
Elsevier BV
Issue Date
1994-03
Language
English
Article Type
Article
Citation

DATA AND KNOWLEDGE ENGINEERING, v.12, no.2, pp.197 - 222

ISSN
0169-023X
DOI
10.1016/0169-023X(94)90014-0
URI
http://hdl.handle.net/10203/60655
Appears in Collection
RIMS Journal Papers
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