Web Data Mining pdf epub mobi txt 電子書下載2025

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Bing Liu 劉兵，伊利諾伊大學芝加哥分校(UIC)教授，他在愛丁堡大學獲得人工智能博士學位。劉兵教授是Web挖掘研究領域的國際知名專傢，在Web內容挖掘、互聯網觀點挖掘、數據挖掘等領域有非常高的造詣，他先後在國際著名學術期刊與重要國際學術會議(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上發布關於數據挖掘、Web挖掘和文本挖掘論文一百多篇。劉兵教授擔任過多個國際期刊的編輯，也是多個國際學術會議(如WWW、KDD與AAAI等)的程序委員會委員。更多的信息，可訪問他的個人主頁http://www.cs.uic.edu/~liub

出版者:Springer

作者:Bing Liu

出品人:

頁數:600

译者:

出版時間:2011-6-26

價格:CAD 61.50

裝幀:Hardcover

isbn號碼:9783642194597

叢書系列:

圖書標籤:

mining
計算機科學
數據挖掘
web
DM
計算機
機器學習
互聯網

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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.

具體描述

讀後感

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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...

評分☆☆☆☆☆

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。

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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...

評分☆☆☆☆☆

看了第一章前4页，明显有 Chinglish 痕迹，两页居然找到4个错误或者表达不清的地方。似乎内容还不错