During the recent years, with the rapid development of Web data mining, how to find useful information in search engine log query has become an important research direction.
近年来，随着网络数据挖掘技术的迅猛发展，如何从搜索引擎查询日志中找到有用的信息成为一个重要的研究方向。
Absrtact: Text classification is the base of information retrieval and data mining and it is widely used in web data mining and search engine.
摘要：文本分类是信息检索和数据挖掘的基础，被广泛应用于网络数据挖掘及搜索引擎等方面。
Semantic Web data mining is a data mining area based on semantic Web, which introduce new challenges to data mining research.
语义网络数据挖掘是基于语义网络环境的数据挖掘，它给数据挖掘技术的应用研究提出了新的课题。
With the increase of Web information, Web data mining has been the focus of data mining field.
随着互联网信息的增长，网络信息挖掘已经成为数据挖掘领域研究热点之一。
This article mainly refers to the basic concept, classification and process of web data mining, as well as its application in e-commerce.
主要介绍网络数据挖掘的基本概念、分类、挖掘的过程及其在电子商务中的应用。
This article mainly refers to the basic concept, classification and process of web data mining, as well as its application in e-commerce.
主要介绍网络数据挖掘的基本概念、分类、挖掘的过程及其在电子商务中的应用。
应用推荐