Application of Kohonen Maps in Predicting and Characterizing Vat Fraud in a Sub-Saharan African Country

AuthID
 P-00X-7GY
3
Author(s)
Lobo, V
3
Editor(s)
Faigl,J;Olteanu,M;Drchal,J
Document Type
Proceedings Paper
Year published
2022
Published
in ADVANCES IN SELF-ORGANIZING MAPS, LEARNING VECTOR QUANTIZATION, CLUSTERING AND DATA VISUALIZATION: DEDICATED TO THE MEMORY OF TEUVO KOHONEN, WSOM+ 2022 in Lecture Notes in Networks and Systems, ISSN: 2367-3370
Volume: 533, Pages: 74-86 (13)
Conference
14Th International Workshop on Self-Organizing Maps (Wsom), Date: JUL 06-07, 2022, Location: Czech Tech Univ, Prague, CZECH REPUBLIC, Host: Czech Tech Univ
Indexing
Wos®
Scopus®
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Publication Identifiers
Scopus: 2-s2.0-85137980348
Wos: WOS:000892398300008
Source Identifiers
ISSN: 2367-3370
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