Learning Data Mining

Riccardo Guidotti, A. Monreale, S. Rinzivillo
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引用次数: 2

Abstract

In the last decade the usage and study of data mining and machine learning algorithms have received an increasing attention from several and heterogeneous fields of research. Learning how and why a certain algorithm returns a particular result, and understanding which are the main problems connected to its execution is a hot topic in the education of data mining methods. In order to support data mining beginners, students, teachers, and researchers we introduce a novel didactic environment. The Didactic Data Mining Environment (DDME) allows to execute a data mining algorithm on a dataset and to observe the algorithm behavior step by step to learn how and why a certain result is returned. DDME can be practically exploited by teachers and students for having a more interactive learning of data mining. Indeed, on top of the core didactic library, we designed a visual platform that allows online execution of experiments and the visualization of the algorithm steps. The visual platform abstracts the coding activity and makes available the execution of algorithms to non-technicians.
学习数据挖掘
在过去的十年中,数据挖掘和机器学习算法的使用和研究受到了几个不同研究领域的越来越多的关注。学习特定算法如何以及为什么返回特定结果,以及理解与其执行相关的主要问题是数据挖掘方法教育中的热门话题。为了支持数据挖掘初学者、学生、教师和研究人员,我们引入了一个新的教学环境。教学数据挖掘环境(DDME)允许在数据集上执行数据挖掘算法,并一步一步地观察算法行为,以了解如何以及为什么返回某个结果。教师和学生可以实际地利用DDME来进行更多的交互式数据挖掘学习。事实上,在核心教学库的基础上,我们设计了一个可视化平台,允许在线执行实验和可视化算法步骤。可视化平台将编码活动抽象出来,使非技术人员也可以执行算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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