Intelligent Data Analysis in Science
β Scribed by Hugh Cartwright
- Publisher
- Oxford University Press, USA
- Year
- 2000
- Tongue
- English
- Leaves
- 217
- Edition
- Hardcover
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book introduces the growing range of computational methods which arise from research into Artificial Intelligence (AI), and which are coming to be recognised as tools of great potential in modern scientific analysis. These methods offer tremendous potential in the analysis of scientific data: papers reporting the application of AI methods in chemistry are currently being published at a rate of several hundred a year; similar figures apply to other areas of science, and the numbers are increasing rapidly. This book leads the reader into the relevant research literature, and provides both the principles and applications of the subject at a level accessible to senior undergraduates and beginning postgraduates.
β¦ Subjects
AI, machine learning, chemistry, chromatography, expert system, expert elicitation, genetic algorithms, neural nets, knowledge system
π SIMILAR VOLUMES
<p><p>This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis
Data is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhe
This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical stati
<p>Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emerge