Predicting retail business success using urban social data mining.

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Title: Predicting retail business success using urban social data mining.
Authors: Papadimitriou, Georgios1,2, akomninos@ceid.upatras.grpapadimitr@ceid.upatras.gr, Komninos, Andreas2,3, akomninos@ceid.upatras.gr, Garofalakis, John2,3
Source: Journal of Ambient Intelligence & Smart Environments; 2020, Vol. 12 Issue 3, p263-277, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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      – Type: doi
        Value: 10.3233/AIS-200561
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 263
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      – TitleFull: Predicting retail business success using urban social data mining.
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            NameFull: Papadimitriou, Georgios
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            NameFull: Komninos, Andreas
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            NameFull: Garofalakis, John
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            – D: 01
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              Text: 2020
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              Y: 2020
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              Value: 12
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              Value: 3
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            – TitleFull: Journal of Ambient Intelligence & Smart Environments
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