Elements of Pattern Analysis
Published on 1. June 2020
Book
Hardback
978-0-521-85988-2 (ISBN)
Description
A new generation of students needs to learn about the interplay between computer science and statistics but do not wish to learn a heavy mathematical overhead. Elements of Pattern Analysis provides the textbook they need: applications and key topics such as visualization, hypothesis testing, patterns in strings, data mining, random graphs are all given crisp treatments. Appendices summarise background topics in optimization, statistics and formal language theory. Computer scientists, electrical engineers and computational biologists will love this book.
More details
Persons
Nello Cristianini is an Associate Professor in the Department of Statistics at the University of California, Davis Tijl de Bie is currently a Researcher at the School of Electronics and Computer Science, University of Southampton John Shawe Taylor is a Professor at the School of Electronics and Computer Science, University of Southampton
Content
Part I. Essential Concepts in Pattern Analysis: 1. Pattern analysis; 2. Finding patterns; 3. Significant patterns; Part II. Topics in Pattern Analysis; 4. Miing association rules; 5. Patterns in strings; 6. Deterministic string patterns; 7. Stochastic string patterns; 8. Patterns in graphs; 9. Patterns in metric spaces; 10. Integer relations. Appendix.