Identification of the numerical patterns behind the leading counties in the U.S. local green building markets using data mining

Journal of Cleaner Production

Volumn 151, Issue , 2017, Pages 406-418

  Ma, Jun ^a   Cheng, Jack C P ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Classification; Clustering; Greedy forward search; Green building market; Influential feature analysis

Indexed keywords

BUILDINGS; CLASSIFICATION (OF INFORMATION); DATA MINING; DEVELOPING COUNTRIES; LEARNING ALGORITHMS; LEARNING SYSTEMS;

CLUSTERING; ECONOMIC FACTORS; FEATURE ANALYSIS; GREEDY FORWARD; GREEN BUILDING PROJECTS; GREEN BUILDINGS; LOCAL MARKETS; NON LINEAR;

COMMERCE;

EID: 85016512323     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2017.03.083     Document Type: Article

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