A Framework for Form Applications that Use Machine Learning

被引:0
作者
Aguiar, Guilherme [1 ]
Vilain, Patricia [1 ]
机构
[1] Univ Fed Santa Caratina, Florianopolis, SC, Brazil
来源
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2018, PT I | 2018年 / 11314卷
关键词
Machine learning; Framework; Form application; Form; SOFTWARE;
D O I
10.1007/978-3-030-03493-1_80
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Machine Learning (ML) has been used efficiently in applications across multiple domains. As a consequence, there is a growing interest in ML techniques and artifacts that facilitate its use. However, most of them are aimed at researchers and experienced users. In addition, few artifacts provide more than ready-made algorithms. In this work, we present a framework capable of delivering ready-to-use ML algorithms, as well as the code to be reused by form applications that use ML algorithms. We also show an example where we used the framework to build two form applications. The results show that the framework is able to reduce approximately 50% of the effort when building a new application. In addition, the framework allows to include new state-of-the-art ML algorithms in an easy way, as well as it provides a simple flow control that assists inexperienced users in the use of ML algorithms.
引用
收藏
页码:773 / 782
页数:10
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