为多视图KDD过程的视点之间的交互建模的目标驱动方法

E. Zemmouri, Hicham Behja, B. Ouhbi, B. Trousse, A. Marzak, Y. Benghabrit
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引用次数: 3

摘要

数据挖掘项目通常由几个参与者(领域专家、数据分析师、KDD专家……)负责,每个参与者都有不同的观点。在本文中,我们建议通过对视点之间的交互进行目标驱动的建模来增强多视点KDD分析参与者之间的协调和知识共享。在简要回顾了我们在KDD中的视点方法之后,我们将首先开发一个目标模型,它允许在KDD过程的业务理解步骤中识别和表示业务目标。然后,在此目标模型的基础上,我们定义了一组多视角分析的视点之间的关系;即对等、包容、冲突和要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Goal driven approach to model interaction between viewpoints of a multi-view KDD process
A data mining project is usually held by several actors (domain experts, data analysts, KDD experts ...), each with a different viewpoint. In this paper we propose to enhance coordination and knowledge sharing between actors of a multi-view KDD analysis through a goal driven modeling of interactions between viewpoints. After a brief review of our approach of viewpoint in KDD, we will first develop a Goal Model that allows identification and representation of business objectives during the business understanding step of KDD process. Then, based on this goal model, we define a set of relations between viewpoints of a multi-view analysis; namely equivalence, inclusion, conflict and requirement.
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