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Intelligent Data Analysis in Science

Intelligent Data Analysis in Science

9780198502333
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Description
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 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 inchemistry 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 ata level accessible to senior undergraduates and beginning postgraduates.
Product Details
OUP Oxford
83351
9780198502333
9780198502333

Data sheet

Publication date
2000
Issue number
1
Cover
hard cover
Pages count
220
Dimensions (mm)
193 x 253
Weight (g)
623
  • Contents List - Page 1; 1. 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 HWatson6. Applications of artificial neural networks to the analysis of multivariate dataRoyston Goodacre7. Applications of knowledge-based systemsMary Mulholland and D Brynn Hibbert8. Automatic design of analog electrical circuits using genetic programmingJohn R Koza, Forrest H Bennett III, DavidAndre, and Martin A KeaneIndex;
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