---
product_id: 8723855
title: "Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)"
brand: "jiawei han, micheline kamber, jian pei"
price: "€ 147.94"
currency: EUR
in_stock: true
reviews_count: 13
url: https://www.desertcart.be/products/8723855-data-mining-concepts-and-techniques-the-morgan-kaufmann-series-in
store_origin: BE
region: Belgium
---

# Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

**Brand:** jiawei han, micheline kamber, jian pei
**Price:** € 147.94
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) by jiawei han, micheline kamber, jian pei
- **How much does it cost?** € 147.94 with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining.
This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects
Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields
Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Dimensions | 8 x 1.75 x 9.5 inches |
| Edition | 3rd |
| Isbn 10 | 0123814790 |
| Isbn 13 | 978-0123814791 |
| Item Weight | 3.2 pounds |
| Language | English |
| Print Length | 744 pages |
| Publication Date | July 6, 2011 |
| Publisher | Morgan Kaufmann |

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## Customer Reviews

### ⭐⭐⭐⭐⭐ Comprehensive Textbook for Data Mining
*by  on Reviewed in the United States January 12, 2014*

This is a robust and practical book explaining concept of data mining. I bought this as a textbook for Data Mining class at a grad school. Some chapters require quantitative background but in general it is relatively easy to read.

### ⭐⭐⭐⭐⭐ Good book with efforts
*by  on Reviewed in the United States April 21, 2012*

Needless to say, this is a classic book for data mining.It presents an extraordinary clear flow of materials. The essences of the difficult and challenging research publications are extractedand transformed into a domain even novice could catch the points.For practitioner who wish to get quick and broad-based overview, this book is for you.For students who are going to do research in this area, this is probably the place you should embark

### ⭐⭐⭐⭐ Comprehensive and easy to digest
*by  on Reviewed in the United States April 5, 2013*

As an experienced software engineer doing his first steps in the field of Data Mining, this book proved very useful in introducing the jargon, the basic concepts and the methods used in the field of Data Mining.The book is easy to read, filled with examples, and provides a comfortably paced (some would say slow) introduction to any mathematical / computational concepts required to understand any given subject.There book is lengthy, so it takes time to go over all the chapters. In addition, some more specialized concepts (such as data mining streams and social networks) are provided for free at the publisher's web-site.All in all - a good book for those who want a solid introduction to the field of Data Mining.

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*Product available on Desertcart Belgium*
*Store origin: BE*
*Last updated: 2026-07-25*