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Some approaches to best-match file searching
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Communications of the ACM archive
Volume 16 ,  Issue 4  (April 1973) table of contents
Pages: 230 - 236  
Year of Publication: 1973
ISSN:0001-0782
Authors
W. A. Burkhard  Univ. of California, San Diego
R. M. Keller  Princeton Univ., Princeton, NJ
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 14,   Downloads (12 Months): 121,   Citation Count: 47
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ABSTRACT

The problem of searching the set of keys in a file to find a key which is closest to a given query key is discussed. After “closest,” in terms of a metric on the the key space, is suitably defined, three file structures are presented together with their corresponding search algorithms, which are intended to reduce the number of comparisons required to achieve the desired result. These methods are derived using certain inequalities satisfied by metrics and by graph-theoretic concepts. Some empirical results are presented which compare the efficiency of the methods.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Chang, H.Y., and Thomas, W. Methods of interpreting diagnostic data for locating faults in digital machines. Bell Syst. Tech. J. (1967), 289-317.
 
2
Wipke, W.T. Private communication. Dep. of Chem., Princeton U., Princeton, N.J.
 
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Jackson, D.M. Classification, relevance, and information retrieval. Advances in Computers Vol. 11, Academic Press, N.Y., 1971.
 
6
Litofsky, B., and Prywes, N.S. All-automatic processing for a large library. Proc. AFIPS 1970 SJCC, Vol. 36, AFIPS Press, Montvale, N.J., pp. 323-331.
 
7
Salton, G. Experiments in automatic thesaurus construction for information retrieval. Proc. IFIP Congress 1971, North Holland Pub. Co., Amsterdam.
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11
Bron, C., and Kerbosh, J.A.G.M. Finding all cliques of an undirected graph. (To be published.)

CITED BY  47

Collaborative Colleagues:
W. A. Burkhard: colleagues
R. M. Keller: colleagues