数据挖掘来自网络的行为数据

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI:10.1109/SKIMA.2016.7916208

Z. Balogh

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引用次数: 3

摘要

在当今的网络世界中，网页有机会保存访问者的软件和硬件环境的属性，以及他们的一些行为方面。这些数据可能包含关于他们的有价值的信息。本文提出了一项研究，该研究将在线电子学习环境中访问者的所有可用数据保存起来，并对其进行各种数据挖掘技术以揭示隐藏的规则。因此，可以根据访问者在网络环境中的行为来预测他们的智力和生活满意度特征。这些信息可以用来分析访问者，并向他们发送有针对性的广告。

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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Data-mining behavioural data from the web

In the online world today, web pages have the opportunity to save the attributes of their visitors' software and hardware environment and also some of their behavioural aspects. This data might contain valuable information about them. This paper presents research, where all the available data from the visitors of an online e-learning environment was saved and various data-mining techniques were performed on it to reveal hidden rules. As a result, intelligence and life satisfaction traits of the visitors can be predicted based on their behaviour in the online environment. This information can be used to profile the visitor and targeted advertisements can be sent to them.

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来源期刊

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)

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