Social Computing for Mobile Big Data
Mobile big data contains vast statistical features in various dimensions, including spatial, temporal, and the underlying social domain. Understanding and exploiting the features of mobile data from a social network perspective will be extremely beneficial to wireless networks, from planning, operat...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xing Zhang [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Systematik: |
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| Übergeordnetes Werk: |
Enthalten in: Computer - Los Alamitos, Calif. : IEEE Computer Soc. Publ. Off., 1970, 49(2016), 9, Seite 86-90 |
|---|---|
| Übergeordnetes Werk: |
volume:49 ; year:2016 ; number:9 ; pages:86-90 |
| Links: |
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| DOI / URN: |
10.1109/MC.2016.267 |
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Mobile big data contains vast statistical features in various dimensions, including spatial, temporal, and the underlying social domain. Understanding and exploiting the features of mobile data from a social network perspective will be extremely beneficial to wireless networks, from planning, operation, and maintenance to optimization and marketing. |
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