How the Anti-TrustRank algorithm can help to protect the reputation of financial institutions
author
Astrova, Irina
statement of authorship
Irina Astrova
source
Research Challenges in Information Science : 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23-25, 2020 : Proceedings
location of publication
Cham
publisher
Springer
year of publication
2020
pages
p. 503-508
series
Lecture Notes in Business Information Processing ; 385
conference name, date
14th International Conference, RCIS 2020, September 23-25, 2020
conference location
Limassol, Cyprus
url
https://doi.org/10.1007/978-3-030-50316-1_30
subject term
finantssektor
rahapesu
finantskuriteod
usaldusväärsus
algoritmid
Scopus
https://www.scopus.com/sourceid/17500155101
https://www.scopus.com/record/display.uri?eid=2-s2.0-85087762842&origin=inward&txGid=8cbfa63c5870cc7aa35cb8e17129c913
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:000886556700030
quartile
Q3
category (general)
Business, management and accounting
Äri, juhtimine ja raamatupidamine
Decision sciences
Otsustusteadused
Engineering
Tehnika
category (sub)
Business, management and accounting. Business and international management
Äri, juhtimine ja raamatupidamine. Äri- ja rahvusvaheline juhtimine
Business, management and accounting. Management information systems
Äri, juhtimine ja raamatupidamine. Juhtimisinfosüsteemid
Decision sciences. Information systems and management
Otsustusteadused. Infosüsteemid ja juhtimine
Engineering. Control and systems engineering
Tehnika. Juhtimis- ja süsteemitehnika
keyword
financial institutions
money laundering
terrorist financing
money laundering detection systems
PageRank
TrustRank
Anti-TrustRank
ISBN
978-3-030-50315-4
notes
Bibliogr.: 12 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Applied artificial intelligence group