基于自适应形态发生方法的复杂企业数据集结构分析

Einar Polis
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引用次数: 0

摘要

架构师Christopher Alexander提出的自适应形态发生方法的潜力尚未在企业数据分析环境中得到充分实现。这些可以定制为组织分析提供合适的比喻,并引入新的分析技术。我们提出了一个相关的框架,并演示了它在原型上的使用。我们特别关注的是识别与Alexander在其他地方的生活结构中发现的相似的基本结构特性。除了为分析提供合理的结构和整体地组织它们的工件之外,框架在评估现有的分析和分析模式方面可能是有用的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structuring analyses of complex enterprise datasets with adaptive morphogenesis methods
The potential of the adaptive morphogenesis methods proposed by architect Christopher Alexander is yet to be fully realised in enterprise data analysis context. These could be customised to provide a suitable metaphor for organising analyses and to introduce novel analysis techniques. We propose a related framework and demonstrate its usage on a prototype. Our particular focus has been on identifying fundamental structural properties similar to those Alexander found present in living structures elsewhere. In addition to giving a justified structure to analyses and wholistically organising their artifacts, the framework might be useful in assessing existing analyses and analysis patterns
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