信息系统建模和数据处理

G. Panayotova, G. Dimitrov, Pavel Petrov, Bychkov Os
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引用次数: 38

摘要

本文分析了数据建模和在大数据集中发现规律的方法,以及它们的应用。所提出的方法的应用是根据从一个比较大的信息系统(保加利亚索非亚图书馆研究和信息技术大学)获得的数据。本文提出了确定数据处理最佳速度和定义临界点的模型和技术。并对结果进行了分析和讨论。在文章的最后,我们提供了一个大样本的实际观测实例,并用实例说明了所有结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and data processing of information systems
This paper analyses data modeling and approaches for finding regularities in large sets of data, as well as their application. The applications of the presented approaches are based on data derived from a relatively large information system (University of Library Studies and Information Technologies, Sofia, Bulgaria). This paper presents models and techniques to determine optimal speed of data processing and define critical points. The results are also analyzed and discussed. At the end of the paper we provide an instance with a large sample of the real observations and all results are illustrated with examples.
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