面向Web结构挖掘的数据预处理算法

Suvarna Sharma, Amita Bhagat
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引用次数: 11

摘要

万维网是一个极其庞大的信息集合,即超出我们的想象。它根据用户的需要提供足够的信息。Web正在以惊人的速度增长,每天大约增加7000万个页面。对web数据的知识发现称为web挖掘。基于Web超链接结构模式分析的Web结构挖掘。与数据挖掘一样,Web挖掘也分为数据收集、预处理、知识发现和知识分析四个阶段。本文主要基于前两个阶段的数据采集和预处理。数据收集就是收集分析所需要的数据。由于Web上的数据具有非结构化、异构和噪声等特点,数据预处理是Web结构挖掘的重要环节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data preprocessing algorithm for Web Structure Mining
World Wide Web is an extremely large collection of information, i.e. beyond our imagination. It provides enough information according to user's need. Web is rising dreadfully as approximately 70 million pages are added daily. Knowledge Discovery on web data is referred as Web Mining. Web Structure Mining based on the analysis of patterns from hyperlink structure in the web. Like as Data Mining, Web Mining has four stages i.e. Data Collection, Preprocessing, Knowledge Discovery and Knowledge Analysis. This paper based on the first two stages Data collection and Preprocessing. Data collection is to collect the data required for analysis. Data preprocessing is considered as an important stage of Web Structure mining because of data available on web is unstructured, heterogeneous and noisy.
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