57 research outputs found

    A Three-Way Decision Approach to Email Spam Filtering

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    Abstract. Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the in-coming email is either spam or non-spam. This treatment is more for mathematical simplicity other than reflecting the true state of nature. In this paper, we introduce a three-way decision approach to spam filtering based on Bayesian decision theory, which provides a more sensible feed-back to users for precautionary handling their incoming emails, thereby reduces the chances of misclassification. The main advantage of our ap-proach is that it allows the possibility of rejection, i.e., of refusing to make a decision. The undecided cases must be re-examined by collect-ing additional information. A loss function is defined to state how costly each action is, a pair of threshold values on the posterior odds ratio is systematically calculated based on the loss function, and the final deci-sion is to select the action for which the overall cost is minimum. Our experimental results show that the new approach reduces the error rate of classifying a legitimate email to spam, and provides better spam pre-cision and weighted accuracy. Key words: spam filter, three-way decision, naive Bayesian classifica-tion, Bayesian decision theory, cost

    Fertility, education and development: further evidence from India

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    There has been a significant decline in fertility in many parts of India since the early 1980s. This paper reexamines the determinants of fertility levels and fertility decline, using panel data on Indian districts for 1981 and 1991. We find that women's education is the most important factor explaining fertility differences across the country and over time. Low levels of child mortality and son preferences also contribute to lower fertility. By contrast, general indicators of modernization and development such as urbanisation, poverty reduction, and male literacy bear no significant association with fertility. En passant, we probe a subject of much confusion - the relation between fertility decline and gender bias

    Toxicity of aspen wood leachate to aquatic life: laboratory studies

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    Water availability: A regional water quality problem

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    The limits to water availability are set, not only by the quantity of water in storages or streams but, more fundamentally, by acceptable levels of environmental health. An interpretation of water quality as inclusive of biological quality infers that environmental health and water quality are interdependent. Consequently, to make effective judgements of water availability managers of water resources need information that presents environmental condition in its regional context. This paper presents the results of research that explores the use of stream turbidity as an indicator of environmental condition, identifies a regional statistical model, and constructs a method to display the distribution of model predictions over a large region of south-eastern Australia. The practical advantage of this approach is that it provides managers with the ability to identify sites that differ significantly from modelled water quality and flag them for further investigation. The major project outputs are a map of regional catchments showing standardised residuals and a raster representation of the state of Victoria in which cell values indicate predicted stream turbidity. Important to this project was the novel use of Geographic Information System technology to process national and regional scale digital data sets using tools developed for catchment scale hydrological models

    Mapping the spatial extent of environmental health: An approach using stream turbidity

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