Abstract
In recent years, the accuracy and performance of decision support systems have become a bottleneck in many monitoring applications. As for the accuracy, different classification algorithms are available but the overall performance are related to the specific software implementation. In this paper we propose a novel hardware implementation to fasten a decision tree classifier. We also present the evaluation of our architecture by putting in evidence the positive performance results obtained with the proposed implementation.
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Amato, F., Barbareschi, M., Casola, V., Mazzeo, A. (2014). An FPGA-Based Smart Classifier for Decision Support Systems. In: Zavoral, F., Jung, J., Badica, C. (eds) Intelligent Distributed Computing VII. Studies in Computational Intelligence, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-01571-2_34
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DOI: https://doi.org/10.1007/978-3-319-01571-2_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01570-5
Online ISBN: 978-3-319-01571-2
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