Methodology for Building a Prototype System for Complex Data Analysis of Thematic Sites

I. I. Piletski, M. Batura, N. A. Volarava
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引用次数: 0

Abstract

One of the modern directions of obtaining information for making informed decisions is the analysis of data from open Internet sources, the analysis of media containing hundreds of thousands of publications. It is critically important not only to obtain reliable information, but also the time needed to obtain and analyze it. The purpose of the research in this work is the development and testing of a complex methodology for quickly building a prototype of a system for complex analysis of thematic sites. A technology of interconnected methods, methodologies, and tools for building a graph database, a knowledge graph, data analysis using methods and mo dels of machine learning with the provision of analytical results to users has been created. The main task of this work is to use these technologies to analyze data from well-known world sites in order to build a prototype of a systems for complex analysis of data from Internet sources.
专题网站复杂数据分析原型系统的构建方法
获取信息以做出明智决策的现代方向之一是分析来自开放互联网来源的数据,分析包含数十万出版物的媒体。至关重要的是,不仅要获得可靠的信息,还要获得和分析信息所需的时间。这项工作的研究目的是开发和测试一种复杂的方法,以快速构建主题站点复杂分析系统的原型。已经创建了一种相互连接的方法、方法和工具技术,用于使用机器学习的方法和模型构建图形数据库、知识图、数据分析,并向用户提供分析结果。这项工作的主要任务是使用这些技术分析来自知名世界网站的数据,以建立一个系统原型,对来自互联网的数据进行复杂分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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发文量
87
审稿时长
8 weeks
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