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Data Mining in Decision Support for Bioenergy Production

Data Mining in Decision Support for Bioenergy Production
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Author(s): Nasser Ayoub (Tokyo Institute of Technology, Japan and Helwan University, Egypt)and Yuji Naka (Tokyo Institute of Technology, Japan)
Copyright: 2009
Pages: 19
Source title: Social and Political Implications of Data Mining: Knowledge Management in E-Government
Source Author(s)/Editor(s): Hakikur Rahman (University of Minho, Portugal)
DOI: 10.4018/978-1-60566-230-5.ch014

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Abstract

This chapter presents Data Mining, DM, as a planning and decision support tool for biomass resources management to produce bioenergy. Furthermore, the decision making problem for bioenergy production is defined. A Decision Support System, DSS that utilizes a DM technique, e.g. clustering, integrated with other group of techniques and tools, such as Genetic Algorithms, GA, Life Cycle Assessment, Geographical Information System, GIS, etc, is presented. A case study that shows how to tackle the decision making problem is also shown.

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