Mittagsseminar (in cooperation with J. Lengler, A. Steger, and D. Steurer)

Date and Time: Thursday, July 15, 2004, 12:15 pm

Duration: This information is not available in the database

Location: This information is not available in the database

Speaker: Moritz Maaß (TU München)

An Average-Case Analysis of Trie Searching with Mismatches

We present an analysis of the average-case number of comparisons when searching a pattern P in a trie of n string X₁,...,X_n allowing D errors which occur between two characters with probability p under a memoryless uniform model. Using techniques from complex analysis, we get exact asymptotics for the case of a constant number D=O(1) of errors. If the number of errors D is allowed to grow with the database size, we get a threshold up to where using a trie is more efficient than searching the database naively string by string. Our results can be applied for any comparison-based error model, for instance, mismatches (Hamming distance), don't cares, or geometric character distances.

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