Scientific Data Ranking Methods
Theory and Applications
- 1st Edition, Volume 27 - November 17, 2008
- Latest edition
- Editors: Manuela Pavan, Roberto Todeschini
- Language: English
This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several… Read more
World Book Day celebration
Where learning shapes lives
Up to 25% off trusted resources that support research, study, and discovery.
Description
Description
This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several different fields, including decision support, toxicology, environmental problems, proteomics and genomics, analytical chemistry, food chemistry, and QSAR.
Key features
Key features
- Covers a wide range of applications, from the environment and toxicology to DNA sequencing
- Incorporates contributions from renowned experts in the field
- Meets the increasing demand for literature concerned with ranking methods and their applications
Readership
Readership
Researchers in several scientific fields, such as Research Centres and Universities, Governmental Organizations, Pharmaceutical Companies, Health Control Organizations, Environmental Control Organizations
Table of contents
Table of contents
Preface by Manuela Pavan and Roberto Todeschini
Chapter 1 Introduction to Ranking Methods
by L.A. Sarabia, M.S. Sánchez and M.C. Ortiz
Chapter 2 Total Order Ranking Methods
by M. Pavan and R. Todeschini
Chapter 3 Partial Ordering and Hasse Diagrams: Applications in Chemistry and Software
by Rainer Brüggemann, Kristina Voigt and Stefan Pudenz
Chapter 4 Partial Ordering and Prioritizing Polluted Sites
by Lars Carlsen
Chapter 5 Similarity/Diversity Measure for Sequentia Data based on Hasse Matrices : Theory and Applications
by A. Mauri and D. Dallabio
Chapter 6 The Interplay between Partial Ranking and Quantitative Structure-Activity Relationships
by Lars Carlsen
Chapter 7 Semi-Subordination Sequences in Multi-Measure Priorization Problems
by W.L. Myers adn G.P. Patil
Chapter 8 Multi-Criteria Decision Making (MCDM) Methods: A Tool for Assessing River Ecosystem Health using Functional Macroinvertebrate Traits
by Sergio Canobbio, Valeria Mezzanotte, Davide Ballabio and Manuela Pavan
Chapter 9 The DART (Decision Analysis by Ranking Techniques) Software
by A. Manganaro, D. Ballabio, V. Consonni, A. Mauri, M. Pavan and R. Todeschini
Chapter 1 Introduction to Ranking Methods
by L.A. Sarabia, M.S. Sánchez and M.C. Ortiz
Chapter 2 Total Order Ranking Methods
by M. Pavan and R. Todeschini
Chapter 3 Partial Ordering and Hasse Diagrams: Applications in Chemistry and Software
by Rainer Brüggemann, Kristina Voigt and Stefan Pudenz
Chapter 4 Partial Ordering and Prioritizing Polluted Sites
by Lars Carlsen
Chapter 5 Similarity/Diversity Measure for Sequentia Data based on Hasse Matrices : Theory and Applications
by A. Mauri and D. Dallabio
Chapter 6 The Interplay between Partial Ranking and Quantitative Structure-Activity Relationships
by Lars Carlsen
Chapter 7 Semi-Subordination Sequences in Multi-Measure Priorization Problems
by W.L. Myers adn G.P. Patil
Chapter 8 Multi-Criteria Decision Making (MCDM) Methods: A Tool for Assessing River Ecosystem Health using Functional Macroinvertebrate Traits
by Sergio Canobbio, Valeria Mezzanotte, Davide Ballabio and Manuela Pavan
Chapter 9 The DART (Decision Analysis by Ranking Techniques) Software
by A. Manganaro, D. Ballabio, V. Consonni, A. Mauri, M. Pavan and R. Todeschini
Product details
Product details
- Edition: 1
- Latest edition
- Volume: 27
- Published: December 8, 2008
- Language: English
About the editors
About the editors
MP
Manuela Pavan
Affiliations and expertise
European Commission - Joint Research Centre, Ispra (Varese), ItalyRT
Roberto Todeschini
Affiliations and expertise
Milano Chemometrics and QSAR Research Group, Department of Environmental Sciences, University of Milan-Bicocca, ItalyView book on ScienceDirect
View book on ScienceDirect
Read Scientific Data Ranking Methods on ScienceDirect