Web Data Mining

Web Data Mining pdf epub mobi txt 电子书 下载 2025

Bing Liu 刘兵,伊利诺伊大学芝加哥分校(UIC)教授,他在爱丁堡大学获得人工智能博士学位。刘兵教授是Web挖掘研究领域的国际知名专家,在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣,他先后在国际著名学术期刊与重要国际学术会议(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上发布关于数据挖掘、Web挖掘和文本挖掘论文一百多篇。刘兵教授担任过多个国际期刊的编辑,也是多个国际学术会议(如WWW、KDD与AAAI等)的程序委员会委员。更多的信息,可访问他的个人主页http://www.cs.uic.edu/~liub

出版者:Springer
作者:Bing Liu
出品人:
页数:600
译者:
出版时间:2011-6-26
价格:CAD 61.50
装帧:Hardcover
isbn号码:9783642194597
丛书系列:
图书标签:
  • mining 
  • 计算机科学 
  • 数据挖掘 
  • web 
  • DM 
  • 计算机 
  • 机器学习 
  • 互联网 
  •  
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Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web data. The field has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

具体描述

读后感

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The rapid growth of the Web in the last decade makes it the largest publicly accessible data source in the world. Web mining aims to discover useful information or knowledge from Web hyperlinks, page contents, and usage logs. Based on the primary kinds of d...  

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The rapid growth of the Web in the last decade makes it the largest publicly accessible data source in the world. Web mining aims to discover useful information or knowledge from Web hyperlinks, page contents, and usage logs. Based on the primary kinds of d...  

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我想看电子版的,谁有啊? 能不能共享一下? 我的邮箱是lmm_5181964@qq.com 先提前感谢了~~~

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第一部分 数据挖掘基础 第1章 概述3 1.1 什么是万维网3 1.2 万维网和互联网的历史简述4 1.3 Web数据挖掘5 1.3.1 什么是数据挖掘6 1.3.2 什么是Web数据挖掘7 1.4 各章概要8 1.5 如何阅读本书10 文献评注10 第2章 关联规则和序列模式12 2.1 关联规则的基本概念12 2.2 Apriori算法...  

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此书作为Web Data Mining的入门书籍还是不错的。此领域的各个方面都有谈到。唯一的问题可能在于如果一点基础(数学基础)都没有的话,可能有一些公式推导会显得不得要领。建议作为基础读物。  

用户评价

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只看了结构化数据抽取,总感觉谋篇布局和文风有些诡异。精确的数据抽取到底还是要人工的,只看怎么平衡了。

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上了Prof. Bing Liu的CS 583同时读完了这本书,算是一本不错的入门书。

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上了Prof. Bing Liu的CS 583同时读完了这本书,算是一本不错的入门书。

评分

只看了结构化数据抽取,总感觉谋篇布局和文风有些诡异。精确的数据抽取到底还是要人工的,只看怎么平衡了。

评分

只看了结构化数据抽取,总感觉谋篇布局和文风有些诡异。精确的数据抽取到底还是要人工的,只看怎么平衡了。

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