文章基本信息

标题：Bayesian Methods for Assessing Water Quality
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作者：Khalil Shihab ; Nida Al-Chalabi
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2014
卷号：4
期号：2
页码：397-407
DOI：10.5121/csit.2014.4234
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This work presents the development of Bayesian techniques for the assessment of groundwaterquality. Its primary aim is to develop a predictive model and a computer system to assess andpredict the impact of pollutants on the water column. The process of the analysis begins bypostulating a model in light of all available knowledge taken from relevant phenomenon. Theprevious knowledge as represented by the prior distribution of the model parameters is thencombined with the new data through Bayes’ theorem to yield the current knowledge representedby the posterior distribution of model parameters. This process of updating information aboutthe unknown model parameters is then repeated in a sequential manner as more and more newinformation becomes available.
关键词：Bayesian Belief Networks; Water Quality Assessment; Data Mining