Titlebook: Advances in Data Mining. Applications and Theoretical Aspects; 17th Industrial Conf Petra Perner Conference proceedings 2017 Springer Inter

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Catching the Flu from the United Statesssification method and our experimental results using medical data show this method to be effective for classification. The proposed method can reduce the number of rules required to build a classifier. It may also be able to control the relation between a false positive and true positive in rule-based classifiers.

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Tracking Multiple Social Media for Stock Market Event Prediction,eyn as family man, scientist and world leader. This new volumealso opens up to a much wider reading public many of the enormouslyrich contributions, not only of Kapteyn the man but also of the Dutch,to the emergence of astronomy as a major intellectual force in theworld. Perhaps equally important, t

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Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism,pper atmosphere provide a foreground light, the study of which has come under a new name, aeronomy. The science of aeronomy has rapidly burgeoned, and the student of the light of the night sky finds that he is involved in an interdisciplinary domain.978-90-277-0294-4978-94-010-2553-9

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Predicting Hospital Re-Admissions from Nursing Care Data of Hospitalized Patients,ghtning protection classes whether there is danger or not and provides information on necessary measures. There is a risk for death and injury if the down conductor is touched. However, there is also a risk of a side flash if a person is standing next to a discharge. Site isolation with dry asphalt

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Collaborative Filtering Fusing Label Features Based on SDAE,ding the electrical signals of the brain is included where it seems appropriate. The final chapter presents a perspective of the limbic system related to brain stem mechanisms and the neocortex. Understanding the behavioral contributions of the limbic system presupposes under- standing how the limbic system i978-1-4613-4507-7978-1-4613-4505-3

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Pier Paolo Saviotti,Andreas Pykaerated from multiple, combined sources with those generated from a single source. We find that multi-source predictions consistently outperform single-source predictions, even though with some limitations.

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Paulo N. Figueiredo,Klauber Britotitative modeling. Benefit from the recent advances in computation power and software development, millions of models built upon multiple regressions, time series analysis, random forest and boosting tree were executed in parallel. The models with smaller validation errors were selected to form the

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