Scientific data ranking methods : theory and applications /

The aim of this volume is to present the basic mathematical aspects of the ranking methods using a didactical approach and to explain their use through examples of relevant applications in different scientific fields. Ranking methods can be applied in several different fields, such as decision suppo...

Full description

Saved in:
Bibliographic Details
Corporate Authors: Elsevier Science & Technology
Group Author: Pavan, Manuela; Todeschini, Roberto
Published: Elsevier Science,
Publisher Address: Amsterdam ; London :
Publication Dates: 2008.
Literature type: eBook
Language: English
Edition: First edition.
Series: Data handling in science and technology, v. 27
Subjects:
Online Access: http://www.sciencedirect.com/science/bookseries/09223487/27
Summary: The aim of this volume is to present the basic mathematical aspects of the ranking methods using a didactical approach and to explain their use through examples of relevant applications in different scientific fields. Ranking methods can be applied in several different fields, such as decision support, toxicology, EU priority lists of toxic chemicals, environmental problems, proteomics and genomics, analytical chemistry, food chemistry and QSAR.
Carrier Form: 1 online resource (x, 213 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9780444530202
0444530207
9780080931937
0080931936
Index Number: QA278
CLC: O212
Contents: Introduction to Ranking Methods / by L.A. Sarabia, M.S. S nchez and M.C. Ortiz -- Total Order Ranking Methods / by M. Pavan and R. Todeschini -- Partial Ordering and Hasse Diagrams: Applications in Chemistry and Software / by Rainer Bru ggemann, Kristina Voigt and Stefan Pudenz -- Partial Ordering and Prioritizing Polluted Sites / by Lars Carlsen -- Similarity/Diversity Measure for Sequentia Data based on Hasse Matrices : Theory and Applications / by A. Mauri and D. Dallabio -- The Interplay between Partial Ranking and Quantitative Structure-Activity Relationships / by Lars Carlsen -- Semi-S