Searching in a large data set those strings that are more similar, according to the edit distance, to a given one is a time-consuming process. In this paper we investigate the performance of metric trees, namely the M-tree, when they are extended using a cheap approximate distance function as a filter to quickly discard irrelevant strings. Using the bag distance as an approximation of the edit distance, we show an improvement in performance up to 90% with respect to the basic case. This, along with the fact that our solution is independent on both the distance used in the pre-test and on the underlying metric index, demonstrates that metric indices are a powerful solution, not only for many modern application areas, as multimedia, data mining and pattern recognition, but also for the string matching problem.

Bartolini I., Ciaccia P., Patella M. (2002). String matching with metric trees using an approximate distance. Springer Verlag [10.1007/3-540-45735-6_24].

String matching with metric trees using an approximate distance

Bartolini I.;Ciaccia P.;Patella M.
2002

Abstract

Searching in a large data set those strings that are more similar, according to the edit distance, to a given one is a time-consuming process. In this paper we investigate the performance of metric trees, namely the M-tree, when they are extended using a cheap approximate distance function as a filter to quickly discard irrelevant strings. Using the bag distance as an approximation of the edit distance, we show an improvement in performance up to 90% with respect to the basic case. This, along with the fact that our solution is independent on both the distance used in the pre-test and on the underlying metric index, demonstrates that metric indices are a powerful solution, not only for many modern application areas, as multimedia, data mining and pattern recognition, but also for the string matching problem.
2002
String Processing and Information Retrieval
271
283
Bartolini I., Ciaccia P., Patella M. (2002). String matching with metric trees using an approximate distance. Springer Verlag [10.1007/3-540-45735-6_24].
Bartolini I.; Ciaccia P.; Patella M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/918344
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