Addressing Societal Challenges Through Analytics: A Framework for Building a Foreclosure Prediction Model Using Publicly-Available Demographic Data, GIS, and Machine Learning. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Dinko_Bacic>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1142%2FS021962202350061X>
foaf:homepage	<https://doi.org/10.1142/S021962202350061X>
dc:identifier	DBLP journals/ijitdm/Bacic24 (xsd:string)
dc:identifier	DOI doi.org%2F10.1142%2FS021962202350061X (xsd:string)
dcterms:issued	2024 (xsd:gYear)
swrc:journal	<https://dblp.l3s.de/d2r/resource/journals/ijitdm>
rdfs:label	Addressing Societal Challenges Through Analytics: A Framework for Building a Foreclosure Prediction Model Using Publicly-Available Demographic Data, GIS, and Machine Learning. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Dinko_Bacic>
swrc:month	January (xsd:string)
swrc:number	1 (xsd:string)
swrc:pages	501-530 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/journals/ijitdm/ijitdm23.html#Bacic24>
rdfs:seeAlso	<https://doi.org/10.1142/S021962202350061X>
dc:title	Addressing Societal Challenges Through Analytics: A Framework for Building a Foreclosure Prediction Model Using Publicly-Available Demographic Data, GIS, and Machine Learning. (xsd:string)
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swrc:volume	23 (xsd:string)