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Design and implementation a REST API for association rule mining

机译:设计和实现用于关联规则挖掘的REST API

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摘要

Association rule mining is one of the popular topics in data mining. It can be applied with various types of applications. In these days, an organization applies multiple software applications to manage its jobs. These applications are also based on several types of platforms. Hence, an interoperability software development using web service becomes one of popular topics in nowadays. In this paper, we emphasized the idea of design and implementation association rule mining web service for a small or medium organization having various software applications on multiple platforms. This service is based on a web service architecture called REST API. The design is intended to be simple. All development tools are also non-commercial software. Therefore, our design in this paper can be easily applied with organization's applications. Our service is tested by using three datasets. According to the result, the processing time depends on the number of transaction in a dataset. From our testing, the service can support a large dataset having 100,000 transactions.
机译:关联规则挖掘是数据挖掘中的热门话题之一。它可以与各种类型的应用程序一起应用。如今,组织使用多个软件应用程序来管理其工作。这些应用程序也基于几种类型的平台。因此,使用Web服务的互操作性软件开发成为当今的热门话题之一。在本文中,我们强调了针对在多个平台上具有各种软件应用程序的中小型组织的设计和实现关联规则挖掘Web服务的思想。该服务基于称为REST API的Web服务体系结构。设计旨在简化。所有开发工具也是非商业软件。因此,我们在本文中的设计可以很容易地与组织的应用程序一起应用。我们的服务通过使用三个数据集进行了测试。根据结果​​,处理时间取决于数据集中的事务数量。根据我们的测试,该服务可以支持具有100,000个事务的大型数据集。

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