(Enter summary)
Abstract: . Given two words, text T of length n and episode P of length
m, the episode matching problem is to find all minimal length substrings
of text T that contain episode P as a subsequence. The respective optimization
problem is to find the smallest number w, s.t. text T has a
subword of length w which contains episode P .
In this paper, we introduce a few efficient off-line as well as on-line algorithms
for the entire problem, where by on-line algorithms we mean
algorithms which search from left... (Update)
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BibTeX entry: (Update)
G. Das, R. Fleischer, L. Gasieniec, D. Gunopulos, and J. K#rkk#inen. Episode matching. Manuscript, 1997. http://citeseer.ist.psu.edu/das97episode.html More
@inproceedings{ das97episode,
author = "G. Das and R. Fleischer and L. G{\c a}sieniec and D. Gunopulos and J. K{\"a}rkk{\"a}inen",
title = "Episode matching",
booktitle = "Proceedings of the 8th Annual Symposium on Combinatorial Pattern Matching",
number = "1264",
publisher = "Springer-Verlag, Berlin",
address = "Aarhus, Denmark",
editor = "A. Apostolico and J. Hein",
pages = "12--27",
year = "1997",
url = "citeseer.ist.psu.edu/das97episode.html" }
Citations (may not include all citations):
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Verkamo: Discovering frequent episodes in sequences (context) - Mannila, Toivonen - 1995
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Toivonen: Discovering frequent episodes in sequences (context) - Mannila - 1996
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Manber: Agrep -- a fast approximate pattern-matching tool (context) - Wu - 1992
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Department of Computer Science (context) - Toivonen, Frequent et al. - 1996
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.cs.helsinki.fi/~tpkarkka/):
Two and Higher Dimensional Pattern Matching in Optimal.. - Kärkkäinen, Ukkonen (1994)
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