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David Roach

dblp:55/1361 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › similarity search
approximate string matching
0.011996
An Extension of Ukkonen's Enhanced Dynamic Programming ASM Algorithm · ACM Trans. Inf. Syst. 1996
Information retrieval › similarity measure
edit distance
0.011996
An Extension of Ukkonen's Enhanced Dynamic Programming ASM Algorithm · ACM Trans. Inf. Syst. 1996

Methods — techniques the papers use, named apart from their topics

dynamic programming · 0.0
YearPublicationVenuePosition
1996 An Extension of Ukkonen's Enhanced Dynamic Programming ASM Algorithm
abstract
We describe an improvement on Ukkonen's Enhanced Dynamic Programming (EHD) approximate string-matching algorithm for unit-penalty four-edit comparisons. The new algorithm has an asymptotic complexity similar to that of Ukkonen's but is significantly faster due to a decrease in the number of array cell calculations. A 42% speedup was achieved in an application involving name comparisons. Even greater improvements are possible when comparing longer and more dissimilar strings. Although the speed of the algorithm under consideration is comparable to other fast ASM algorithms, it has greater effectiveness in text-processing applications because it supports all four basic Damerau-type editing operations.
Hal Berghel, David Roach
ACM Trans. Inf. Syst.2