Tutorial Based Primer Second Edition Chapman Hall Crc Data Mining And Knowledge Discovery Series
Data mining is the process of extracting knowledge from data. It is a rapidly growing field that has been used in a wide variety of applications, including fraud detection, customer relationship management, and medical diagnosis.
Knowledge discovery is the process of finding new and interesting patterns in data. It is a more general field than data mining, and it includes a wider range of techniques.
This book provides a comprehensive to data mining and knowledge discovery. It is written in a tutorial style, with a focus on understanding the underlying concepts and algorithms. The book includes numerous examples and exercises to help readers learn the material.
5 out of 5
Language | : | English |
File size | : | 54687 KB |
Screen Reader | : | Supported |
Print length | : | 529 pages |
The book is divided into three parts:
- **Part 1: **
- Chapter 1: to Data Mining and Knowledge Discovery
- Chapter 2: Data Preprocessing
- Chapter 3: Data Mining Techniques
- Part 2: Advanced Data Mining Techniques
- Chapter 4: Classification
- Chapter 5: Clustering
- Chapter 6: Association Rule Mining
- Chapter 7: Anomaly Detection
- Chapter 8: Text Mining
- Part 3: Applications of Data Mining
- Chapter 9: Data Mining in Business
- Chapter 10: Data Mining in Healthcare
- Chapter 11: Data Mining in Science
This book is intended for a broad audience of readers, including:
- Students in data mining and knowledge discovery courses
- Researchers in data mining and knowledge discovery
- Practitioners in data mining and knowledge discovery
The book has the following features:
- A tutorial style that makes it easy to understand the underlying concepts and algorithms
- Numerous examples and exercises to help readers learn the material
- Coverage of a wide range of data mining and knowledge discovery techniques
- Applications of data mining and knowledge discovery in a variety of fields
This book is a comprehensive to data mining and knowledge discovery. It is written in a tutorial style, with a focus on understanding the underlying concepts and algorithms. The book includes numerous examples and exercises to help readers learn the material. It is a valuable resource for students, researchers, and practitioners in data mining and knowledge discovery.
5 out of 5
Language | : | English |
File size | : | 54687 KB |
Screen Reader | : | Supported |
Print length | : | 529 pages |
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5 out of 5
Language | : | English |
File size | : | 54687 KB |
Screen Reader | : | Supported |
Print length | : | 529 pages |