Design and implementation a REST API for association rule mining
Kesinee Boonchuay, Youppadee Intasorn, Kritwara Rattanaopas · 2017
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.