Using machine learning for automated assessment of misclassification of goods for fraud detection
author
Spitšakova, Margarita
Haav, Hele-Mai
statement of authorship
Margarita Spichakova, Hele-Mai Haav
source
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
location of publication
Cham
publisher
Springer International Publishing AG
year of publication
2020
pages
p. 144-158
series
Communications in computer and information science ; 1243
conference name, date
14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020
conference location
Tallinn, Estonia
url
https://doi.org/10.1007/978-3-030-57672-1_12
subject term
tehisõpe
semantilised seosed
harmooniline analüüs (matemaatika)
semantika
Scopus
Conference proceeding at Scopus
Article at Scopus
kvartiil
Q4
category (general)
Mathematics
en
Matemaatika
et
Computer science
en
Arvutiteadus
et
category (sub)
Mathematics. General mathematics
en
Matemaatika. Üldmatemaatika
et
Computer science. General computer science
en
Arvutiteadus. Üldine arvutiteadus
et
keyword
machine learning (ML)
Doc2Vec
harmonized system taxonomy
cosine similarity of text
semantic similarity
ISSN
865-0929
ISBN
978-3-030-57671-4
notes
Bibliogr.: 21 ref
Bibliogr: 13 ref
International Baltic Conference on Databases and Information Systems (14 : 2020 : Tallinn, Estonia)
Baltic DB&IS 2020
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Nonlinear control systems group
Applied artificial intelligence group