MEM: a new mixed ensemble model for identifying frauds.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/ijict/ChenJMZHXS19
Home
|
Example Publications
Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/ijict/ChenJMZHXS19
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Dangguo_Shao
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Jinshan_Hu
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Junpeng_Zhang_0001
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Lei_Ma_0010
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Weili_Jiang
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Yan_Xiang
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Zhenhua_Chen
>
foaf:
homepage
<
http://dx.doi.org/doi.org%2F10.1504%2FIJICT.2019.103002
>
foaf:
homepage
<
https://doi.org/10.1504/IJICT.2019.103002
>
dc:
identifier
DBLP journals/ijict/ChenJMZHXS19
(xsd:string)
dc:
identifier
DOI doi.org%2F10.1504%2FIJICT.2019.103002
(xsd:string)
dcterms:
issued
2019
(xsd:gYear)
swrc:
journal
<
https://dblp.l3s.de/d2r/resource/journals/ijict
>
rdfs:
label
MEM: a new mixed ensemble model for identifying frauds.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Dangguo_Shao
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Jinshan_Hu
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Junpeng_Zhang_0001
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Lei_Ma_0010
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Weili_Jiang
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Yan_Xiang
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Zhenhua_Chen
>
swrc:
number
3
(xsd:string)
swrc:
pages
294-303
(xsd:string)
owl:
sameAs
<
http://bibsonomy.org/uri/bibtexkey/journals/ijict/ChenJMZHXS19/dblp
>
owl:
sameAs
<
http://dblp.rkbexplorer.com/id/journals/ijict/ChenJMZHXS19
>
rdfs:
seeAlso
<
http://dblp.uni-trier.de/db/journals/ijict/ijict15.html#ChenJMZHXS19
>
rdfs:
seeAlso
<
https://doi.org/10.1504/IJICT.2019.103002
>
dc:
title
MEM: a new mixed ensemble model for identifying frauds.
(xsd:string)
dc:
type
<
http://purl.org/dc/dcmitype/Text
>
rdf:
type
swrc:Article
rdf:
type
foaf:Document
swrc:
volume
15
(xsd:string)