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Teesside's Research Repository > Schools > School of Computing > Computer Science > Study of economic, environmental and social factors in sustainability reports using text mining and Bayesian analysis


Title: Study of economic, environmental and social factors in sustainability reports using text mining and Bayesian analysis
Authors: Modapothala, J. R. (Jashua)
Issac, B. (Biju)
Affiliation: Swinburne University of Technology
Citation: Modapothala, J.R., and Issac, B. (2009) 'Study of economic, environmental and social factors in sustainability reports using text mining and Bayesian analysis', Proceedings of the IEEE Symposium on Industrial Electronics and Applications (ISIEA 2009), Kuala Lumpur, Malaysia, 4-6 October 2009, pp.319-324
Publisher: IEEE
Conference: IEEE Symposium on Industrial Electronics and Applications (ISIEA 2009), Kuala Lumpur, Malaysia, 4-6 October 2009.
Issue Date: 2009
URI: http://hdl.handle.net/10149/253412
DOI: 10.1109/ISIEA.2009.5356467
Additional Links: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5356467
Type: Meetings and Proceedings
Language: en
Keywords: data mining
environemntal reports
bayesian estimate
text mining
ISBN: 9781424446834
9781424446810
Citation Count: No citation information available on Web of Science or Scopus
Appears in Collections: Computer Science

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Please use this identifier to cite or link to this item: http://hdl.handle.net/10149/253412
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