Data Mining Approaches for Life Cycle Assessment

被引：0

作者：

Sundaravaradan, Naren ^{[1
,2
]}

Marwah, Manish

Shah, Amip

Ramakrishnan, Naren ^{[1
,2
]}

机构：

[1] Virginia Polytech Inst & State Univ Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA

[2] Virginia Polytech Inst & State Univ, Dept Comp Sci, Blacksburg, VA 24061 USA

来源：

2011 IEEE INTERNATIONAL SYMPOSIUM ON SUSTAINABLE SYSTEMS AND TECHNOLOGY (ISSST) | 2011年

关键词：

Data mining; environmental management; green design; environmental factors; INVENTORY ANALYSIS; UNRESOLVED PROBLEMS; PART; FRAMEWORK; SCOPE; GOAL;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

To reduce the cost associated with screening lifecycle assessments (LCAs), we propose treating LCA as a data mining problem and automating the process of assigning impact factors to inventory components. We describe three sub-problems involved in automating LCA and provide illustrative case studies for each. The results from an automated data mining approach are comparable to those obtained from the more laborious manual LCA process.

引用

页数：6

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