Understanding the challenges faced during the management of data mining models

Jhilmil Jain, Ismail Ari, Jun Li
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引用次数: 5

Abstract

While the IT industry is moving forward with service-based solutions, they have left behind critical processes and soft IT assets unmanaged, especially at the intersection of business processes with Business Intelligence (BI). In this paper, we describe the challenges faced by model developers (or statisticians) and business analysts while managing data mining model assets of an organization that supports business processes in making real-time decisions and forecasts.
了解数据挖掘模型管理过程中面临的挑战
虽然IT行业正在使用基于服务的解决方案向前发展,但它们留下了未管理的关键流程和软IT资产,特别是在业务流程与商业智能(BI)的交叉点。在本文中,我们描述了模型开发人员(或统计人员)和业务分析人员在管理一个组织的数据挖掘模型资产时所面临的挑战,该组织支持做出实时决策和预测的业务流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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