---
product_id: 27553249
title: "Mining the Web: Discovering Knowledge from Hypertext Data"
price: "S/.523"
currency: PEN
in_stock: true
reviews_count: 7
url: https://www.desertcart.pe/products/27553249-mining-the-web-discovering-knowledge-from-hypertext-data
store_origin: PE
region: Peru
---

# Mining the Web: Discovering Knowledge from Hypertext Data

**Price:** S/.523
**Availability:** ✅ In Stock

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- **What is this?** Mining the Web: Discovering Knowledge from Hypertext Data
- **How much does it cost?** S/.523 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.pe](https://www.desertcart.pe/products/27553249-mining-the-web-discovering-knowledge-from-hypertext-data)

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## Description

Mining the Web: Discovering Knowledge from Hypertext Data [Chakrabarti, Soumen] on desertcart.com. *FREE* shipping on qualifying offers. Mining the Web: Discovering Knowledge from Hypertext Data

Review: The best general purpose book on the subject I've seen - Probably not a book you're going to put on your coffee table, but if you've got any interest in this subject matter at all this is a book worth having. You can flip it open to just about any page and find something interesting. Most of the descriptions in this book move from general to specific, so you can jump around from chapter to chapter getting an overview, or dig more deeply when you want more detail. The references at the end of each chapter are also very useful. Whether you want a survey of the field or are trying to implement something specific, this book is a valuable resource.
Review: interesting information - very interesting book.. data mining is one of the most interesting fields in computer science and this book covers very interesting parts I enjoyed reading it

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #4,115,531 in Books ( See Top 100 in Books ) #41 in Website Analytics #926 in Management Information Systems #1,116 in Data Mining (Books) |
| Customer Reviews | 4.0 4.0 out of 5 stars (13) |
| Dimensions  | 7.54 x 1.04 x 9.52 inches |
| Edition  | 1st |
| ISBN-10  | 1558607544 |
| ISBN-13  | 978-1558607545 |
| Item Weight  | 1.9 pounds |
| Language  | English |
| Part of series  | The Morgan Kaufmann Series in Data Management Systems |
| Print length  | 368 pages |
| Publication date  | October 23, 2002 |
| Publisher  | Morgan Kaufmann |

## Images

![Mining the Web: Discovering Knowledge from Hypertext Data - Image 1](https://m.media-amazon.com/images/I/A1eqFijs6uL.jpg)
![Mining the Web: Discovering Knowledge from Hypertext Data - Image 2](https://m.media-amazon.com/images/I/A1RcUQqEtFL.jpg)
![Mining the Web: Discovering Knowledge from Hypertext Data - Image 3](https://m.media-amazon.com/images/I/91voaYWyIeL.jpg)
![Mining the Web: Discovering Knowledge from Hypertext Data - Image 4](https://m.media-amazon.com/images/I/91AX2RySIaL.jpg)
![Mining the Web: Discovering Knowledge from Hypertext Data - Image 5](https://m.media-amazon.com/images/I/91-ML8NbsUL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ The best general purpose book on the subject I've seen
*by N***L on October 5, 2004*

Probably not a book you're going to put on your coffee table, but if you've got any interest in this subject matter at all this is a book worth having. You can flip it open to just about any page and find something interesting. Most of the descriptions in this book move from general to specific, so you can jump around from chapter to chapter getting an overview, or dig more deeply when you want more detail. The references at the end of each chapter are also very useful. Whether you want a survey of the field or are trying to implement something specific, this book is a valuable resource.

### ⭐⭐⭐⭐ interesting information
*by M***N on November 7, 2010*

very interesting book.. data mining is one of the most interesting fields in computer science and this book covers very interesting parts I enjoyed reading it

### ⭐⭐⭐⭐⭐ Readable, approachable, informative
*by B***D on December 14, 2004*

The field of relevance algorithms for the web is still relatively new and the author provides a clear, informative introduction to the still-developing field. Many references to real problems are discussed, and the author avoids needless use of equations or symbolic logic when a simple textual explanation is more appropriate. This is the book that the authors of "Modelling the Internet and the Web" should have written. Avoid that book, it is a confusing disaster.

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*Product available on Desertcart Peru*
*Store origin: PE*
*Last updated: 2026-03-16*