Open Source Data Mining tools

Hussah A. Al-Odan, Ahmad A. Al-Daraiseh
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引用次数: 12

Abstract

Data Mining is one of the most widely used techniques in the realm of data exploration and trend identification. Although commercial Data Mining tools are very powerful and produce satisfactory results, the number of free and open source software tools is on the rise, some of them have started to compete vigorously with the commercial enterprise-level rivals. For small to medium enterprises, selecting a suitable Data Mining tool can be an overwhelming task with such a variety. In this paper, five of the most popular free and open source software tools were comprehensively studied, and compared on a side-by-side manner on both user's acceptance and technical specifications level. Results from both evaluations are analyzed, and the paper concludes by contrasting on the advantages and disadvantages of each tool.
开源数据挖掘工具
数据挖掘是数据探索和趋势识别领域中应用最广泛的技术之一。尽管商业数据挖掘工具非常强大并且产生了令人满意的结果,但是免费和开源软件工具的数量正在增加,其中一些已经开始与商业企业级对手激烈竞争。对于中小型企业来说,选择合适的数据挖掘工具可能是一项艰巨的任务。本文对五种最流行的免费和开源软件工具进行了全面的研究,并在用户接受度和技术规范水平上进行了并排比较。对两种评估结果进行了分析,并对每种工具的优缺点进行了对比,得出结论。
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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