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Titlebook: Database and Expert Systems Applications; 29th International C Sven Hartmann,Hui Ma,Roland R. Wagner Conference proceedings 2018 Springer N

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Charles Pearce,Yalcin Kaya,Selma Belenection techniques fall short in considering continuous data processing. Thus, this paper aligns an anomaly detection technique for data stream processing. It thereby provides a conceptual basis for future adaption of other techniques and further delivers proof of concept by prototype implementation.
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Continuous Media with Microstructureure selection, and a new .NN classifier brings the highest classification accuracy on a challenging dataset with 130 classes. Moreover, the proposed approach can promptly react to changing training data without any need for a retraining process.
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Vaithilingam Jeyakumar,Alexander Rubinov again. We assume that if we continue instigating this loop, the accuracy of the classifier will improve, and we will obtain useful information without having to specify keywords. Experimental results demonstrated that our proposed system is effective for filtering social media streams. Moreover, we
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Semigroups of Holomorphic Functionstions on their need to take a medical test or not on the coming day based on the analysis of their medical data. A real-life time series dataset is used for experimental evaluation. The experimental results show that the proposed system yields very good recommendation accuracy and can effectively re
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Template Trees: Extracting Actionable Information from Machine Generated Emailsree..Our experiments over real data show, structure of the core region of the email, containing all the information of our interest, is very simple and it is 85%–98% smaller compared to the original email. Further, our experiments also show that the template trees are highly repetitive across divers
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