作者: Flora Amato , Mario Barbareschi , Valentina Casola , Antonino Mazzeo
DOI: 10.1007/978-3-319-01571-2_34
关键词:
摘要: In recent years, the accuracy and performance of decision support systems have become a bottleneck in many monitoring applications. As for accuracy, different classification algorithms are available but overall related to specific software implementation. this paper we propose novel hardware implementation fasten tree classifier. We also present evaluation our architecture by putting evidence positive results obtained with proposed