Book Review: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Russell S. Johnson
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引用次数: 6

Abstract

Not so long ago only a small proportion of the information generated by organizations – that stored in structured data sources like databases and spreadsheets – was accessible for systematic computer-based search, classification and analysis. The techniques and algorithms of data mining were developed to extract useful patterns and knowledge from these structured sources. Today, the explosive growth of the World-Wide-Web, and a parallel development of private intranets, means that a much greater amount of information is potentially available for search and analysis, in a wider variety of formats and encompassing structured, semi-structured and unstructured data, from organized tables to multi-media clips. The established techniques of data mining have proved insufficient for this task.
书评:《网络数据挖掘:探索超链接、内容和使用数据》
不久前,只有一小部分组织产生的信息——存储在数据库和电子表格等结构化数据源中——可以用于系统的基于计算机的搜索、分类和分析。开发了数据挖掘的技术和算法,以便从这些结构化资源中提取有用的模式和知识。今天,万维网的爆炸式增长,以及私人内部网的并行发展,意味着有更多的信息可能用于搜索和分析,以更广泛的形式,包括结构化、半结构化和非结构化数据,从有组织的表格到多媒体剪辑。现有的数据挖掘技术已被证明不足以完成这项任务。
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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