Data Mining Concepts and Techniques 2nd Edition by Jiawei Han, Jian Pei, Micheline Kamber ISBN 1558609016 9781558609013

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Product details:

ISBN 10: 1558609016

ISBN 13: 978-1558609013

Author:  Jiawei Han, Jian Pei, Micheline Kamber 

Data Mining: Concepts and Techniques 2nd Edition: 

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.

Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data― including stream data, sequence data, graph structured data, social network data, and multi-relational data.

• A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data
• Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning
• Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects
• Complete classroom support for instructors at www.mkp.com/datamining2e companion site

 

Data Mining: Concepts and Techniques 2nd Edition Table of contents:

• Chapter 1: Introduction
• Chapter 2: Getting to Know Your Data
• Chapter 3: Data Preprocessing
• Chapter 4: Data Warehousing and Online Analytical Processing
• Chapter 5: Data Cube Technology
• Chapter 6: Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods
• Chapter 7: Advanced Pattern Mining
• Chapter 8: Classification: Basic Concepts
• Chapter 9: Classification: Advanced Methods
• Chapter 10: Cluster Analysis: Basic Concepts and Methods
• Chapter 11: Advanced Cluster Analysis
• Chapter 12: Outlier Detection
• Chapter 13: Data Mining Trends and Research Frontiers

 

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