客户反馈知识发现的大数据分析问题与方法研究

T. Georgieva-Trifonova, Miroslav Galabov, Martin Djonov
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引用次数: 0

摘要

本文对大数据分析方法在客户反馈知识发现中的应用研究进行了综述。目的是区分和总结主要的应用案例;指示必要的数据类型和相应的适当方法。此外,还研究了大数据分析方法,并提出了一个框架,用于适应大数据分析过程,以支持从客户反馈中提取有用的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Problems and Methods in Big Data Analytics for Knowledge Discovery from Customer Feedback
In the present paper, the recent research on the usage of big data analytics methods in knowledge discovery from the customer feedback is examined. The aim is to distinguish and summarize the main cases of application; to indicate the necessary data types and the corresponding appropriate methods. In addition, big data analytics methodologies are studied and a framework is proposed for adaption of the big data analytics process to support extracting useful information from customer feedback.
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