Let’s break down seven web‐mining topics with everyday analogies, one clear example each, and friendly pictures.
1. Web Mining
In a nutshell: Digging through the internet to find useful bits—like panning for gold in a river of web pages.
Example: A travel site scans hundreds of blogs to pick out the best beach reviews.
2. Mining Page Layout (Structure Mining)
Think of it like: Reading a recipe’s headings (Ingredients, Steps, Notes) so you know exactly where to find each part.
Example: A news reader tool grabs only the headline and main story, skipping ads and menus.
3. Mining Link Structure
Like a map: Pages are cities, links are roads. You find the busiest “highways” (most-linked pages) and local neighborhoods (clusters of related sites).
Example: A search engine ranks a popular blog higher because dozens of other sites link to it.
4. Mining Multimedia Data
Imagine: Auto-tagging your photo album—faces, sunsets, or cityscapes get labeled without you lifting a finger.
Example: A video site creates a 30-second trailer by picking out the loudest, most colorful moments.
5. Automatic Classification of Web Documents
Like: Sorting mail into “bills,” “junk,” and “catalogs” without opening every envelope.
Example: A news app automatically files sports stories under “Sports” and finance updates under “Business.”
6. Web Usage Mining
Imagine: Watching shoppers in a mall, then using that pattern to rearrange stores for easier shopping.
Example: An online store sees many people leave at checkout, so it adds a “Help” chat box on the payment page.
7. Distributed Data Mining
Think of it as: Each branch of a bookstore checks its own sales, then shares summaries so headquarters spots nationwide trends.
Example: Hospitals analyze their patient records locally, then combine insights to improve city‐wide health predictions.
With these simple snapshots, you now know how the web’s hidden treasures—page layouts, links, multimedia, user habits, and distributed data—get mined to power everything from search engines to online stores!
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