- We will send in 10–14 business days.
/images/books/2819224/9780128155530.jpg)
- Publisher: Academic Press
- ISBN-10: 0128155531
- ISBN-13: 9780128155530
- Format: 15.2 x 22.9 x 1.6 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Intelligent Data Analysis for Biomedical Applications (e-book) (used book) | bookbook.eu
Reviews
Description
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 17d.14:16:02
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Academic Press
- ISBN-10: 0128155531
- ISBN-13: 9780128155530
- Format: 15.2 x 22.9 x 1.6 cm, softcover
- Language: English English
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.
Reviews