Improving Machine Learning Tools with Embeddings: Applications to Big Data Security

被引：0

作者：

Cuzzocrea, Alfredo ^{[1
,2
]}

Martinelli, Fabio ^{[3
]}

Mercaldo, Francesco ^{[3
]}

机构：

[1] Univ Trieste, Trieste, Italy

[2] CNR, ICAR, Pisa, Italy

[3] CNR, Natl Res Council Italy, Inst Informat & Telemat, Pisa, Italy

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2018年

基金：

欧盟地平线“2020”;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Considering the widespread diffusion of machine learning techniques to solve several issues, from network security to malware detection, in this paper we propose the adoption of word embeddings aimed to improve the machine learning-based classifiers. Three real-world experiment we perform in order to demonstrate that the proposed method overcomes in terms of performances the mostly used machine-learning algorithms.

引用

页码：5086 / 5092

页数：7

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