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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS João Manuel R. S. Tavares,Satyajit Chakrabarti,Suj Conf

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2367-3370 communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security. .978-981-15-9776-3978-981-15-9774-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
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Nonlinear Dynamics of Globular Proteinsclassification performance is satisfactory or the subsets produced in these way are too small. The over-fitting issues are dealt by the termination criteria. On a selected benchmark datasets used to test our method, it performs significantly better compared to other state-of-the-art ensemble classifier.
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Kumar Pakki Bharani Chandra,Da-Wei Guo model the way perceive like frequency. To classify musical instruments, we are used as the k-nearest neighbor and support vector machine classifier with RBF kernel which provides optimum classification ability. A very high accuracy is achieved (97%) on the test set of our generated dataset.
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A Simple Ensemble Learning Algorithm For a Real Time High Dimensional Data,eatures such as random state, tune max depth, tune number samples split, and tuned loss function. The proposed work is carried out using real-time garbage data set collected from the municipal corporation of Tiruchirappalli, India and the selected sample is tested with FGDT (Forward Gradient Boost Decision Tree) shows improvement in accuracy.
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