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Author Katajainen, Jyrki ♦ Raita, Timo
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©1992
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Optimal and heuristic encoding ♦ Shortest paths ♦ Textual substitution
Abstract Text compression is often done using a fixed, previously formed dictionary (code book) that expresses which substrings of the text can be replaced by code words. There always exists an optimal solution for text-encoding problem. Due to the long processing times of the various optimal algorithms, several heuristics have been proposed in the literature. In this paper, the worst-case compression gains obtained by the longest match and the greedy heuristics for various types of dictionaries is studied. For general dictionaries, the performance of the heuristics can be almost the weakest possible. In practice, however, the dictionaries have usually properties that lead to a space-optimal or near-space-optimal coding result with the heuristics.
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 1992-04-01
Publisher Place New York
e-ISSN 1557735X
Journal Journal of the ACM (JACM)
Volume Number 39
Issue Number 2
Page Count 14
Starting Page 281
Ending Page 294

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Source: ACM Digital Library