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Data · dataset · 2022

Determinants of Investment Fraud

Listed in Borealis

This research aims to examine investment fraud cases in Canada by coding cases retrieved from the Investment Industry Regulatory Organization of Canada's website.

Description

The dataset consists of features related to enforcement, offenders, and victims and consists of numeric, float, and categorical variables. This research will contribute to understanding investment fraud in Canada and provide information that can be used to prevent and detect investment fraud.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/Q3K08Q12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4602mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Artificial intelligence']
concepts[field].anzsrc:group:4611mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Machine learning,']
concepts[field].dataverse_subject:business-and-managementsource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:economics-financemapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0