Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Second Edition
Second Edition: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data is a broad reference covering data-mining foundations alongside web-specific methods. The listing describes topics from crawling and search to opinion mining, usage analysis, advertising, and recommender systems, making its scope more suitable for a substantial course or reference than a narrowly focused guide.
At a glance
- Combines data-mining and machine-learning foundations with web-mining subject matter.
- Topics include crawling, search, social networks, structured-data extraction, information integration, opinion and sentiment analysis, usage and query-log mining, computational advertising, and recommender systems.
- The listing says teaching materials including lecture slides, datasets, and implemented algorithms are available online.
Reference price: $99.00
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Wide coverage can serve as a single reference across foundational methods and several web-mining applications.
- The stated breadth of topics makes it relevant to courses spanning data mining, web mining, or text mining.
Technical specifications
9 specifications| Publisher | Springer |
|---|---|
| Edition | Second Edition 2011 |
| Publication date | June 26, 2011 |
| Language | English |
| Print length | 644 pages |
| Weight listed | 2.25 pounds |
|---|---|
| Dimensions | 6.25 x 1.75 x 9.25 inches |
| ISBN-10 | 9783642194597 |
|---|---|
| ISBN-13 | 978-3642194597 |
What to know before buying
- The listing describes a second edition dated 2011, so readers seeking coverage of newer developments should consider the publication date. Online teaching materials are described as available, but their current availability is not confirmed.
Who is it for?
A good fit for
- Students taking courses in data mining, web mining, or text mining.
- Researchers and practitioners seeking a broad reference on web-mining methods and applications.
- Instructors looking for a text whose listed topics extend from core algorithms to web-specific applications.
Less suited to
- Readers looking only for a short introduction to one specific web-mining technique.
- Buyers who need a text focused on developments published after the stated 2011 edition.
Customer reviews on Amazon
- 5 stars
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The listing shows uniformly top-category aggregate ratings, but the sample is small and no written customer feedback is supplied. Those ratings alone do not establish which topics, explanations, or teaching uses readers appreciated, so assess the book by its stated scope and dated edition.
Frequently asked questions
What subjects does the book cover?
The listing describes data-mining and machine-learning foundations, followed by web crawling, search, social network analysis, structured-data extraction, information integration, opinion and sentiment analysis, usage and query-log mining, computational advertising, and recommender systems.
Is this a recent edition?
The listed edition is the second edition from 2011. That publication date matters if you need coverage of newer research or tools.
Are teaching resources included?
The description says lecture slides, datasets, and implemented algorithms are available online. It does not confirm their current availability or that they are included as physical package contents.
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