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This article is cited in 2 scientific papers (total in 2 papers)
Computer science
Hash functions for diagnostic information reduction
V. B. Goldshteyn, S. V. Mironov Saratov State University, Chair of Mathematical Cybernetics and Computer Sciences
Abstract:
In this paper we present a new approach for the solution of problem of the diagnostic information reduction. This approach is based on use of hash functions delivering a compact signature for records in a fault dictionary. The experimental results show a considerable decrease in the storage requirement of diagnostic information reduced with the help of such functions.
Citation:
V. B. Goldshteyn, S. V. Mironov, “Hash functions for diagnostic information reduction”, Izv. Saratov Univ. Math. Mech. Inform., 7:2 (2007), 76–81
Linking options:
https://www.mathnet.ru/eng/isu167 https://www.mathnet.ru/eng/isu/v7/i2/p76
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Abstract page: | 234 | Full-text PDF : | 141 | References: | 46 | First page: | 1 |
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