web使用挖掘的技术与应用综述

2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT) Pub Date : 2017-11-01 DOI:10.1109/ICETCCT.2017.8280343

Subhi Jain, Ruchira Rawat, Bina Bhandari

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引用次数: 5

摘要

从web数据中发现有价值的知识的过程被称为web挖掘。从商业智能、电子学习、个性化等各个角度来看，识别各种模式并利用从这些模式中提取的大量知识非常重要。从用户博客中提取模式的web挖掘领域称为web使用挖掘，是数据挖掘的实现部分。本文重点介绍了web使用情况挖掘的工作原理、web使用情况挖掘的数据源以及web使用情况挖掘的应用。此外，我们解释了web使用挖掘的问题和当前的挑战。

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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A survey paper on techniques and applications of web usage mining

The process of finding out valuable knowledge drawn out from web data is known as web mining. Identifying the various patterns and utilizing the vast knowledge extracted from those patterns is important from various perspectives such as business intelligence, e-learning, personalization etc. The web mining area which deals with extraction of patterns from user's weblogs is called as web usage mining, which is an implementation part of data mining. This paper focuses on the working of web usage mining, data sources for web usage mining and applications of web usage mining is explained in detail in this paper. Further, we explain the issues and current challenges in web usage mining.

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2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)

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