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A Data Science Framework for Municipal Solid Waste Systems Based on Behavioral Segmentation.

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Title: A Data Science Framework for Municipal Solid Waste Systems Based on Behavioral Segmentation.
Authors: Gaytán Aguilar, Ivan1 (AUTHOR), Hernández Berriel, María del Consuelo1,2 (AUTHOR), del Razo López, Federico1 (AUTHOR), Granda Gutiérrez, Everardo Efrén2 (AUTHOR), Mañón Salas, María del Consuelo1 (AUTHOR), Alejo Eleuterio, Roberto1 (AUTHOR) ralejoe@toluca.tecnm.mx
Source: Recycling (MDPI AG). May2026, Vol. 11 Issue 5, p91. 32p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 194175074
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Data Science Framework for Municipal Solid Waste Systems Based on Behavioral Segmentation.
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  Data: <searchLink fieldCode="JN" term="%22Recycling+%28MDPI+AG%29%22">Recycling (MDPI AG)</searchLink>. May2026, Vol. 11 Issue 5, p91. 32p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/recycling11050091
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 91
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      – TitleFull: A Data Science Framework for Municipal Solid Waste Systems Based on Behavioral Segmentation.
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            NameFull: Gaytán Aguilar, Ivan
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            NameFull: Hernández Berriel, María del Consuelo
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            NameFull: del Razo López, Federico
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            NameFull: Granda Gutiérrez, Everardo Efrén
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            NameFull: Mañón Salas, María del Consuelo
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            NameFull: Alejo Eleuterio, Roberto
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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