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
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
https://www.scopus.com/sourceid/17700155007
https://www.scopus.com/record/display.uri?eid=2-s2.0-85089720660&origin=inward&txGid=b14438a348e6821ba420b2cfcad8558f
quartile
Q4
category (general)
Mathematics
Matemaatika
Computer science
Arvutiteadus
category (sub)
Mathematics. General mathematics
Matemaatika. Üldmatemaatika
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
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
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Nonlinear control systems group
Applied artificial intelligence group