Intelligent Data Analysis in Science by H. Cartwright

Intelligent Data Analysis in Science

EditorH. Cartwright

Hardcover | April 30, 1999

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Scientists have been enthusiastic advocates of computational methods of data analysis for as long as computers have been widely available. This book introduces the growing range of computational methods which arise from research into Artificial Intelligence (AI), and which are coming to berecognised 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 toother 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.

About The Author

H. Cartwright is at University of Oxford.
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Details & Specs

Title:Intelligent Data Analysis in ScienceFormat:HardcoverPublished:April 30, 1999Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198502338

ISBN - 13:9780198502333

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Table of Contents

Contents List - Page 11. Introduction to intelligent data analysisD Brynn Hibbert2. Knowledge transfer: human experts to expert systemsSharbari Lahiri and Martin J Stillman3. The genetic algorithms, linkage learning, and scalable data miningHillol Kargupta, Eleonora Riva Sanseverino, Erik Johnson, and Samir Agrawal4.Theory and application of fuzzy methodologyPaul P Wang and Fuji Lai5. Data representations for evolutionary computationIan C Parmee, Carlos A Coello Coello, and Andrew H Watson6. Applications of artificial neural networks to the analysis of multivariate dataRoyston Goodacre7. Applications ofknowledge-based systemsMary Mulholland and D Brynn Hibbert8. Automatic design of analog electrical circuits using genetic programmingJohn R Koza, Forrest H Bennett III, David Andre, and Martin A KeaneIndex

Editorial Reviews

" This area is an intellectually active one that has inspired many research students, not only in chemistry but also engineering, biology and computer science. This book certainly is a useful and valuable reference, written exactly at the level that a computationally literate graduate studentcan take home, read and find out what is what before deciding whether to delve deeper" Chemistry and Industry