论文信息 - A study of the relationship between credits in the LEED-EB&OB green building rating system

A study of the relationship between credits in the LEED-EB&OB green building rating system

LEED (Leadership in Energy and Environmental Design) is a credit-based green building rating system. Considering that a better understanding of the relationships between credits would help managers better achieve green building certification, this study analyzed 1381 projects that have been certified in LEED-Existing Building versions 2008 and 2009. The credits achieved by those projects were analyzed using data mining techniques to discover hidden inter-relationships and the effects on high-scoring sustainable design strategies. The data mining results were compared with the credit pairs provided by LEED AP consultants from the engineering perspective. Additional hidden credit pairs were also discovered.

Jack Chin Pang Cheng | Lucky J. Ma

[1] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .

[2] Ramakrishnan Srikant,et al. Fast algorithms for mining association rules , 1998, VLDB 1998.

[3] Michael J. A. Berry,et al. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management , 2004 .

[4] Heikki Mannila,et al. Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.

[5] Christian Borgelt. Apriori-Finding Association Rules/Hyperedges with the Apriori Algorithm , 2004 .

[6] Benjamin J Thomas. Mining Association Rules Between Credits in the Leadership in Energy and Environmental Design for New Construction (LEED-NC) Green Building Assessment System , 2008 .

[7] Kurt Hornik,et al. Mining Association Rules and Frequent Itemsets , 2015 .