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A Neural Network Architecture for High-Speed Database Query Processing


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Chen, C-H. and Honavar, V. (1995) A Neural Network Architecture for High-Speed Database Query Processing. Technical Report TR95-11, Department of Computer Science, Iowa State University.

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Abstract

A Neural Network Architecture for High-Speed Database Query Processing
Chun-Hsien Chen & Vasant Honavar
Department of Computer Science
226 Atanasoff Hall,
Iowa State University,
Ames, IA 50011. U.S.A.
chen@cs.iastate.edu, honavar@cs.iastate.edu
Artificial neural networks (ANN), due to their inherent parallelism and
potential fault tolerance offer an attractive paradigm for robust and
efficient implementations of large modern database and knowledge base
systems.  This paper explores a neural network model for efficient
implementation of a database query system. The application of the proposed
model to a high-speed library query system for retrieval of multiple items
is based on partial match of the specified query criteria with the stored
records. The performance of the ANN realization of the database query
module is analyzed and compared with other techniques commonly in current
computer systems.  The results of this analysis suggest that the proposed
ANN design offers an attractive approach for the realization of query
modules in large database and knowledge base systems, especially for
retrieval based on partial matches.

Subjects:All uncategorized technical reports
ID code:00000101
Deposited by:Staff Account on 07 July 1995



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