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Dusan Zahoransky

dblp:159/3011 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author

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 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
string matching
0.212015
Text Search of Surnames in Some Slavic and Other Morphologically Rich Languages Using Rule Based Phonetic Algorithms · IEEE ACM Trans. Audio Speech Lang. Process. 2015

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

rule-based phonetic algorithm · 0.2
YearPublicationVenuePosition
2015 Text Search of Surnames in Some Slavic and Other Morphologically Rich Languages Using Rule Based Phonetic Algorithms
abstract
Surnames play a key role as person natural identifiers, essentially in present information systems. This paper deals with the topic of optimizing a phonetic search algorithm as a string matching of surnames usable for communications service providers, person registries, social networks or genealogy databases. It describes a proposed solution for the phonetic searching of Slovak and (territorial) neighboring languages (Czech, Polish, Ukrainian, Russian, German, Hungarian, Jewish) surnames. This solution was designed to improve search precision and recall when searching for people by their surnames originating in these languages.
Dusan Zahoransky, Ivan Polásek
IEEE ACM Trans. Audio Speech Lang. Process.1