An Integrative Framework for Continuous Knowledge Discovery
An Integrative Framework for Continuous Knowledge Discovery
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DOI：
10.4156/jcit.vol5.issue3.7
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发表时间：
2010-05
期刊：
影响因子：
--
通讯作者：
Ding Pan
中科院分区：
文献类型：
--
作者：
Ding Pan
随着生成和收集的数据量的增长，自动分析数据的需求近年来受到商业界越来越多的关注。它需要一些理论上的考虑，这些考虑在整个社区都得到了很好的理解和推广。传统的主流KDD过程模型在面向项目管理的各个阶段提供了有价值的指导，但在业务理解、模型选择和已知知识集成等关键问题上没有正式的基础提供指导。提出了演化环境下连续知识发现过程的集成框架，并讨论了描述过程操作特征和相互关系的DIKW（datainformation-knowledge-wisdom）概念层次。作为理论基础，在过程模型中使用的主要概念表示形式化，在线性时序逻辑。
With the growth in the amount of data generated and collected, the need for automatically analyzing the data has received more and more attention from the business community in recent times. It requires some theoretical considerations, which are well understood and popularized throughout the community. The traditional dominant KDD process model offers valuable guidance on the projectedmanagement oriented stages, with no formal foundation to provide guidance in the crucial issue of business understanding, model selection and known knowledge integration. An integrative framework for continuous knowledge discovery process is proposed in evolving environment, and a DIKW (datainformation-knowledge-wisdom) conceptual hierarchy to characterize the process operation features and interrelations is discussed. As the theoretical basis, the main notions used in the process model are represented formally, in linear temporal logic.