SCOPUS 정보 검색 플랫폼

Volumn 9, Issue 1, 2018, Pages 561-572

Beyond nutrient-based food indices: A data mining approach to search for a quantitative holistic index reflecting the degree of food processing and including physicochemical properties

(3) Fardet, Anthony a Lakhssassi, Sanaé a Briffaz, Aurélien b

a INRA and University of Auvergne (France)

b UMR QUALISUD (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; FOOD PRESERVATION; FOOD PROCESSING; MULTIVARIANT ANALYSIS; NUTRIENTS;

FOOD STRUCTURES; MINIMALLY PROCESSED FOODS; MULTI VARIATE ANALYSIS; NUTRITIONAL COMPOSITIONS; NUTRITIONAL VALUE; PHYSICOCHEMICAL PROPERTY; QUANTITATIVE RULES; TEXTURAL PARAMETERS;

PROCESSED FOODS;

ADULT; AGED; ANALYSIS; DATA MINING; FAST FOOD; FEMALE; FOOD ANALYSIS; FOOD HANDLING; HUMAN; MALE; MIDDLE AGED; NUTRITIONAL VALUE; YOUNG ADULT;

ADULT; AGED; DATA MINING; FAST FOODS; FEMALE; FOOD ANALYSIS; FOOD HANDLING; HUMANS; MALE; MIDDLE AGED; NUTRITIVE VALUE; YOUNG ADULT;

EID: 85041195623 PISSN: 20426496 EISSN: 2042650X Source Type: Journal
DOI: 10.1039/c7fo01423f Document Type: Conference Paper

Times cited : (34)

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