Titlebook: Database and Expert Systems Applications; 21st International C Pablo García Bringas,Abdelkader Hameurlain,Gerald Conference proceedings 20

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263473.jpg

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B2R: An Algorithm for Converting Bayesian Networks to Sets of RulesIn this paper B2R algorithm that converts Bayesian networks into sets of rules is proposed. It is tested on several data sets with various configurations and results show that accuracy is similar to original Bayesian networks even after pruning a high number of rules. It allows to exploit advantages of both knowledge representation techniques.

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Robust Estimation and Robust Parameterth heart disease do not want to disclose their electrocardiogram time-series, but they still allow mining of some accurate patterns from their time-series. Based on this observation, we introduce the related assumptions and requirements. We show that only randomization methods satisfy all assumption

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Theory of Statistical Predictionin measures in a multi-dimensional data cube. Sentinels notify users based on previous observations, e.g., that revenue might drop within two months if an increase in customer problems combined with a decrease in website traffic is observed. If the vice versa also holds, we have a . sentinel, which

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https://doi.org/10.1007/978-1-349-12221-9esearch interest on supporting query answering over the deep web. To answer a deep web query efficiently, the current approaches generate a query plan for each query independently..However, in practice, deep web queries issued by a user over a short period of time can often share similarities. This,

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