Design and Implementation of Data Mining and Analysis Platform Based on Web Service Techniques

Sheng Zhou, Xiaoxiao Zhang, Xianhui Li, Gang Zheng, G. Zhang
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Abstract

In view of the simplicity of traditional data mining and analysis platform application scenarios, high data mining and analysis platform based on B / S Architecture was designed, which was called HSP-DMA. The platform integrated the algorithm service with the application service and used the REST Web Service to publish as a component service to facilitate the third-party system call. HSP-DMA adopts the drag-and-drop modeling method, which is easy to operate and reduces the difficulty of modeling. It combined the business scenario to construct the application model and satisfied the actual business needs of the power grid. It greatly improved the application degree and reduced development costs.
基于Web Service技术的数据挖掘与分析平台的设计与实现
针对传统数据挖掘与分析平台应用场景简单的问题,设计了基于B / S架构的高级数据挖掘与分析平台,称为HSP-DMA。该平台将算法服务与应用服务集成,并使用REST Web service作为组件服务发布,方便第三方系统调用。HSP-DMA采用拖放式建模方法,操作简单,降低了建模难度。结合业务场景构建应用模型,满足电网实际业务需求。大大提高了应用程度,降低了开发成本。
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