Mathematical and Computational Topics in Design Studies
The advancement of machine learning, data mining, and other techniques provides excellent tools for information collecting, data analyzing, behavior forecast, and decision-making. [...]the design complexity of consumer behavior, social and cultural preferences, environmental impacts, and economic fa...
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| Veröffentlicht in: | Mathematical problems in engineering 2015-01, Vol.2015, p.1-1 |
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| container_title | Mathematical problems in engineering |
| container_volume | 2015 |
| creator | Meen, Teen-Hang Prior, Stephen D. Hsu, Kuei-Shu Lam, Artde Donald Kin-Tak |
| description | The advancement of machine learning, data mining, and other techniques provides excellent tools for information collecting, data analyzing, behavior forecast, and decision-making. [...]the design complexity of consumer behavior, social and cultural preferences, environmental impacts, and economic factors can be taken into account properly. |
| doi_str_mv | 10.1155/2015/296029 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1024-123X |
| ispartof | Mathematical problems in engineering, 2015-01, Vol.2015, p.1-1 |
| issn | 1024-123X 1563-5147 |
| language | eng |
| recordid | cdi_proquest_journals_1751965639 |
| source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Data mining Decision making Economic factors Engineering Machine learning Product design Software Studies |
| title | Mathematical and Computational Topics in Design Studies |
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