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Author Willard, Dan E.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©1991
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Databases ♦ Sampling
Abstract In many computing applications, there are several equivalent algorithms capable of performing a particular task, and no one is the most efficient under all statistical distributions of the data. In such contexts, a good heuristic is to take a sample of the database and use it to guess which procedure is likely to be the most efficient. This paper defines the very general notion of a differentiable query problem and shows that the ideal sample size for guessing the optimal choice of algorithm is $\textit{O}(\textit{N}2/3)$ for all differential problems involving approximately $\textit{N}$ executing steps.
ISSN 00045411
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1991-01-03
Publisher Place New York
e-ISSN 1557735X
Journal Journal of the ACM (JACM)
Volume Number 38
Issue Number 1
Page Count 16
Starting Page 104
Ending Page 119


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Source: ACM Digital Library