About this item
Book Synopsis Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.
- Features
- Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA.
- Author(s): Bon K Sy & Arjun K Gupta
- 289 Pages
- Computers, Data Science
- Series Name: The Springer International Engineering and Computer Science
Specifications
- Dimensions (Overall)
9.78 Inches (H) x 6.38 Inches (W) x .94 Inches (D)
- Weight
1.47 Pounds
- Suggested Age
22 Years and Up
- Number of Pages
289
- Genre
Computers
- Sub-Genre
Data Science
- Series Title
The Springer International Engineering and Computer Science
- Publisher
Springer
- Theme
Data Analytics
- Format
Hardcover
- Author
Bon K Sy & Arjun K Gupta
- Language
English