---
product_id: 41574081
title: "Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)"
price: "£51.94"
currency: GBP
in_stock: false
reviews_count: 13
url: https://www.desertcart.co.uk/products/41574081-data-mining-practical-machine-learning-tools-and-techniques-morgan-kaufmann
store_origin: GB
region: United Kingdom
---

# Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

**Price:** £51.94
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- **What is this?** Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
- **How much does it cost?** £51.94 with free shipping
- **Is it available?** Currently out of stock
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## Description

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) [Witten, Ian H., Frank, Eibe, Hall, Mark A., Pal, Christopher J.] on desertcart.com. *FREE* shipping on qualifying offers. Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

Review: Continues to lead introductions to data mining - I've read and reviewed the 1st, 2nd and now the 4th edition. The authors are genuine experts, at the front of their fields, and by adding new contributors have been able to both update existing topics as well as add authoritative treatments of new ones. I recommend this text to anyone seeking a serious introduction to data mining. The emphasis is practical rather than theoretical, but there are pointers to the theoretical literature for those wanting them. The practical emphasis serves those wanting such, and provides motivation and context for the approach. For those with the necessary mathematical, statistical and computing background there are certainly a plethora of more advanced treatments, but Witten et.al. may well be the best available introduction to the subject for almost everyone.
Review: Easy to read. - Very good book for my master's thesis. Easy to understand and read.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #425,996 in Books ( See Top 100 in Books ) #61 in Library Management #188 in Data Processing #838 in Artificial Intelligence & Semantics |
| Customer Reviews | 4.2 4.2 out of 5 stars (135) |
| Dimensions  | 7.5 x 1.48 x 9.25 inches |
| Edition  | 4th |
| ISBN-10  | 0128042915 |
| ISBN-13  | 978-0128042915 |
| Item Weight  | 2.31 pounds |
| Language  | English |
| Part of series  | The Morgan Kaufmann Series in Data Management Systems |
| Print length  | 654 pages |
| Publication date  | December 1, 2016 |
| Publisher  | Morgan Kaufmann |

## Images

![Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) - Image 1](https://m.media-amazon.com/images/I/71OKH1m3XhL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Continues to lead introductions to data mining
*by R***7 on June 13, 2017*

I've read and reviewed the 1st, 2nd and now the 4th edition. The authors are genuine experts, at the front of their fields, and by adding new contributors have been able to both update existing topics as well as add authoritative treatments of new ones. I recommend this text to anyone seeking a serious introduction to data mining. The emphasis is practical rather than theoretical, but there are pointers to the theoretical literature for those wanting them. The practical emphasis serves those wanting such, and provides motivation and context for the approach. For those with the necessary mathematical, statistical and computing background there are certainly a plethora of more advanced treatments, but Witten et.al. may well be the best available introduction to the subject for almost everyone.

### ⭐⭐⭐⭐ Easy to read.
*by M***. on January 6, 2019*

Very good book for my master's thesis. Easy to understand and read.

### ⭐⭐⭐⭐⭐ Great text for the subject matter but i think this edition needs some editing to fix reference errors
*by D***E on March 4, 2018*

This is a great textbook for the subject, but this edition has some significant typos in it. The book i received has significant errors in reference to chapters in the book. For example, the opening to part two of the book references the later chapters all incorrectly. The book seems to be legit as far as being genuine so i don't think i got a knock-off version.

## Frequently Bought Together

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*Product available on Desertcart United Kingdom*
*Store origin: GB*
*Last updated: 2026-05-17*