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Requirements taxonomy for automatic detection of data mining techniques for non-expert users

机译:非专家用户自动检测数据挖掘技术的需求分类

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Carrying out an extracting knowledge process is already a complex task, made most often by expert users. But in this world increasingly full of data, it is necessary to extend that possibility to non-expert users. To do this, novel methods to identify their needs in a transparent manner are needed. This article presents a taxonomy of requirements introduced with the aim of identifying that data mining technique to be used by non-expert users depending on their initial expectations. The taxonomy was validated by architects to analyze data related to the spatial formation of land value in regions of the province of Alicante, Spain. The results show its relevance. This proposal can be extended in future work.
机译:进行提取知识的过程已经是一项复杂的任务,通常由专家用户完成。但是,在这个数据越来越多的世界中,有必要将这种可能性扩展到非专家用户。为此,需要新颖的方法以透明的方式识别其需求。本文介绍了一种需求分类法,旨在根据其最初的期望来确定非专家用户将使用的数据挖掘技术。建筑师验证了该分类法,以分析与西班牙阿利坎特省地区的土地价值空间形成有关的数据。结果表明其相关性。该建议可以在以后的工作中扩展。

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