Free Web Data Mining: Exploring Hyperlinks, Contents, And Usage Data (Data-Centric Systems And Applications) Ebooks Online
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.
Series: Data-Centric Systems and Applications
Paperback: 624 pages
Publisher: Springer; Softcover reprint of hardcover 2nd ed. 2011 edition (August 6, 2013)
Language: English
ISBN-10: 3642268919
ISBN-13: 978-3642268915
Product Dimensions: 6.1 x 1.5 x 9.2 inches
Shipping Weight: 2.1 pounds (View shipping rates and policies)
Average Customer Review: Be the first to review this item
Best Sellers Rank: #1,375,098 in Books (See Top 100 in Books) #261 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Computer Vision & Pattern Recognition #443 in Books > Textbooks > Computer Science > Artificial Intelligence #584 in Books > Computers & Technology > Networking & Cloud Computing > Network Administration > Storage & Retrieval
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications) Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems) RapidMiner: Data Mining Use Cases and Business Analytics Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More Analytics: Data Science, Data Analysis and Predictive Analytics for Business (Algorithms, Business Intelligence, Statistical Analysis, Decision Analysis, Business Analytics, Data Mining, Big Data) Yellowcake Towns - Uranium Mining Communities in the American West (Mining the American West) Bitcoin Mining: The Bitcoin Beginner's Guide (Proven, Step-By-Step Guide To Making Money With Bitcoins) (Bitcoin Mining, Online Business, Investing for ... Beginner, Bitcoin Guide, Bitcoin Trading) Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading) Exploring the World of Chemistry: From Ancient Metals to High-Speed Computers (Exploring Series) (Exploring (New Leaf Press)) Data Analysis and Data Mining using Microsoft Business Intelligence Tools: Excel 2010, Access 2010, and Report Builder 3.0 with SQL Server Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Exploratory Data Mining and Data Cleaning Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business. Leveraging the Power of Data Analytics, Data ... (Hacking Freedom and Data Driven) (Volume 2) Data Analytics: What Every Business Must Know About Big Data And Data Science (Data Analytics for Business, Predictive Analysis, Big Data) Disney U: How Disney University Develops the World's Most Engaged, Loyal, and Customer-Centric Employees Customer-Centric Marketing: Build Relationships, Create Advocates, and Influence Your Customers
