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A Data Mining Service for Non-Programmers

机译:非程序员的数据挖掘服务

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摘要

With the emergence of Big Data, the scarcity of data scientists to analyse all the data being produced in different domains became evident. To train new data scientists faster, web applications providing data science practices without requiring programming skills can be a great help. However, some available web applications lack in providing good data mining practices, specially for assessment and selection of models. Thus, in this paper we describe a system, currently under development, that will provide the construction of data mining processes enforcing good data mining practices. The system will be available through a web UI and will follow a microservices architecture that is still being designed and tested. Preliminary usability tests, were conducted with two groups of users to evaluate the envisioned concept for the creation of data mining processes. In these tests we observed a general high level of user satisfaction. To assess the performance of the current system design, we have done tests in a public cloud where we observed interesting results that will guide us in new directions.
机译:随着大数据的出现,数据科学家的稀缺性来分析不同域中产生的所有数据变得明显。为了培训新的数据科学家更快,网络应用程序提供数据科学实践而不需要编程技能可能是一个很大的帮助。但是,有些可用的Web应用程序缺乏提供良好的数据挖掘实践,特别用于评估和选择模型。因此,在本文中,我们描述了一个目前正在开发的系统,这将提供强制执行良好的数据挖掘实践的数据挖掘过程的构建。该系统将通过Web UI可用,并遵循仍在设计和测试的MicroServices架构。初步可用性测试是用两组用户进行的,以评估创建数据挖掘过程的设想概念。在这些测试中,我们观察了一般的高水平的用户满意度。为了评估当前系统设计的性能,我们在公共云中进行了测试,我们观察到将指导我们在新方向上的有趣结果。

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