Thesis Details
Spojování záznamů v genealogických datech
The main aim of this thesis is to study genealogical data, to find out possible problems in their merging and to implement methods for this data merging. In this thesis, it will be studied the problem of classifying similar names into common classes. This problem will be studied mainly because people's names and surnames play the most important role in every registry entry. In this thesis, it will be analyzed several metrics for calculating the distance between two strings. In addition, several experiments will be done for these metrics to classify names into classes with as few errors as possible. Based on these results, experiments for record linkage will be performed.
genealogy, register, records, merging, strings, distances, classes, C++
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT22057, author = "Jan \v{S}orm", type = "Bachelor's thesis", title = "Spojov\'{a}n\'{i} z\'{a}znam\r{u} v genealogick\'{y}ch datech", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22057/" }