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Titlebook: New Trends in Databases and Information Systems; ADBIS 2016 Short Pap Mirjana Ivanović,Bernhard Thalheim,Pietro Michiard Conference proceed

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Feature Ranking and Selection for Big Data Setserves the permutation yielded by rank revealing QR factorizations. This leads to a simple algorithm for running these factorizations on big data sets regardless of their number of rows. The nature of the transformation makes it also possible to deal with high dimensional data with a controlled loss
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Towards Automated Performance Optimization of BPMN Business Processesasize the volume of the tokens exchanged and are amenable to existing automated optimization algorithms. In addition, concrete examples of mappings are given, while the optimization opportunities that are opened are explained.
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BAC: A Bagged Associative Classifier for Big Data Frameworks the capability of the proposed ensemble classifier to obtain a quality comparable with the single-machine version on popular real-world datasets, and overcome their scalability limits on large synthetic datasets.
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