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Fractal Analysis of Knowledge Organization in Digital Library

机译：数字图书馆知识组织的分形分析

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Visualization of the large-scale collections of information became one of the essential purpose in data analysis. The new methods of visualization are increasingly applied as a significant component in scientific research. Particularly qualitative nature of Infoviz studies (Information visualization) can be combined with quantitative character of digital libraries volumes. This paper describes and demonstrates the case of hierarchical structure visualization i.e. visual representation of both classification adopted by ACM (Association for Computing Machinery) digital library and classification universe. Given maps were processed by nonlinear graphical filters. Finally fractal dimension (FD) and derived techniques have used to analyze the patterns of clusters on the visualization maps. Quantification of output graphical representation by means of fractals makes possible to adjust visualization parameters as well as evaluate initial classification scheme and its dynamical characteristics.
机译：大规模信息的可视化成为数据分析中的基本目的之一。新的可视化方法越来越多地应用于科学研究中的重要组成部分。 Infoviz研究（信息可视化）的特殊性性质可以与数字图书馆卷的定量特征相结合。本文介绍了分层结构可视化的情况，即ACM（计算机械协会）数字图书馆和分类宇宙所采用的两种分类的视觉表示。给定地图由非线性图形滤波器处理。最后分形维数（FD）和衍生技术已经用于分析可视化图上的集群模式。通过分形的输出图形表示的定量可以调整可视化参数以及评估初始分类方案及其动力学特性。

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