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Scientific Data Ranking Methods: Theory and Applications, Volume 27 [Kõva köide]

Volume editor (Milano Chemometrics and QSAR Research Group, Department of Environmental Sciences, University of Milan-Bicocca, Italy), Volume editor (European Commission - Joint Research Centre, Ispra (Varese), Italy)
  • Formaat: Hardback, 224 pages, kõrgus x laius: 240x165 mm, kaal: 580 g
  • Sari: Data Handling in Science and Technology
  • Ilmumisaeg: 28-Nov-2008
  • Kirjastus: Elsevier Science Ltd
  • ISBN-10: 0444530207
  • ISBN-13: 9780444530202
Teised raamatud teemal:
Scientific Data Ranking Methods: Theory and Applications, Volume 27Suurem pilt
  • Formaat: Hardback, 224 pages, kõrgus x laius: 240x165 mm, kaal: 580 g
  • Sari: Data Handling in Science and Technology
  • Ilmumisaeg: 28-Nov-2008
  • Kirjastus: Elsevier Science Ltd
  • ISBN-10: 0444530207
  • ISBN-13: 9780444530202
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780444530202.html
Märksõnad:
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 fileds, such as decision support, toxicology, EU priority lists of toxic chemicals, environmental problems, proteomics and genomics, analytical chemistry, food chemistry and QSAR.

. 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

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.

. 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
Contributors vii
Preface ix
Introduction to Ranking Methods
1(50)
L.A. Sarabia
M.S. Sanchez
M.C. Ortiz
Definition of Order Relations
1(2)
Order in Statistics
3(39)
Order in Graphs
42(1)
Order in Optimization Problems
43(8)
References
46(2)
Appendix A
48(3)
Total-Order Ranking Methods
51(22)
M. Pavan
R. Todeschini
Introduction
51(2)
Total-Order Ranking Methods
53(17)
Conclusions
70(3)
References
70(3)
Partial Ordering and Hasse Diagrams: Applications in Chemistry and Software
73(24)
R. Bruggemann
K. Voigt
S. Pudenz
Introduction
73(1)
Partial-Order Theory
74(3)
Software for Hasse Diagram Technique
77(1)
Ranking of Chemicals as An Example
78(5)
Applications of Hasse Diagram Technique to the Data Availability of Chemicals
83(7)
Summary, Outlook and Conclusion
90(7)
References
91(6)
Partial Ordering and Prioritising Polluted Sites
97(14)
L. Carlsen
Introduction
97(1)
Methodology
98(3)
Applications
101(7)
Conclusions
108(3)
Acknowledgments
108(1)
References
108(3)
Similarity/Diversity Measure for Sequential Data Based on Hasse Matrices: Theory and Applications
111(28)
A. Mauri
D. Ballabio
Introduction
111(1)
Theory
112(4)
Application of the Hasse Distance Approach to Sequential Data
116(21)
Conclusions
137(2)
References
137(2)
The Interplay between Partial-Order Ranking and Quantitative Structure---Activity Relationships
139(20)
L. Carlsen
Introduction
139(1)
Methodology
140(4)
Results and Discussion
144(9)
Conclusions and Outlook
153(6)
References
154(3)
Abbreviations
157(2)
Semi-Subordination Sequences in Multi-Measure Prioritization Problems
159(10)
W.L. Myers
G.P. Patil
Introduction
159(2)
Theory
161(8)
References
167(2)
Multi-Criteria Decision-Making Methods: A Tool for Assessing River Ecosystem Health Using Functional Macroinvertebrate Traits
169(24)
S. Canobbio
V. Mezzanotte
D. Ballabio
M. Pavan
Introduction
169(2)
Biomonitoring Program
171(4)
Applications of Total-Order Ranking Techniques
175(1)
Environmental Description of Serio River
175(2)
Ecology of Serio River
177(6)
What we Obtained Using This Method?
183(10)
References
185(3)
Appendix
188(5)
The DART (Decision Analysis by Ranking Techniques) Software
193(16)
A. Manganaro
D. Ballabio
V. Consonni
A. Mauri
M. Pavan
R. Todeschini
Introduction
193(1)
The Dart Software
194(3)
Example of Application of the Dart Software
197(10)
Conclusions
207(2)
References
207(2)
Index 209