Scientific Data Ranking Methods: Theory and 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
1141904806
Scientific Data Ranking Methods: Theory and 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
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Scientific Data Ranking Methods: Theory and Applications

Scientific Data Ranking Methods: Theory and Applications

Scientific Data Ranking Methods: Theory and Applications

Scientific Data Ranking Methods: Theory and Applications

eBook

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Overview

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

Product Details

ISBN-13: 9780080931937
Publisher: Elsevier Science
Publication date: 11/17/2008
Series: Data Handling in Science and Technology , #27
Sold by: Barnes & Noble
Format: eBook
Pages: 224
File size: 6 MB

Table of Contents

Preface by Manuela Pavan and Roberto TodeschiniChapter 1 Introduction to Ranking Methodsby L.A. Sarabia, M.S. Sánchez and M.C. OrtizChapter 2Total Order Ranking Methodsby M. Pavan and R. TodeschiniChapter 3Partial Ordering and Hasse Diagrams: Applications in Chemistry and Softwareby Rainer Brüggemann, Kristina Voigt and Stefan PudenzChapter 4Partial Ordering and Prioritizing Polluted Sitesby Lars CarlsenChapter 5Similarity/Diversity Measure for Sequentia Data based on Hasse Matrices : Theory and Applicationsby A. Mauri and D. DallabioChapter 6The Interplay between Partial Ranking and Quantitative Structure-Activity Relationships by Lars CarlsenChapter 7Semi-Subordination Sequences in Multi-Measure Priorization Problemsby W.L. Myers adn G.P. PatilChapter 8Multi-Criteria Decision Making (MCDM) Methods: A Tool for Assessing River Ecosystem Health using Functional Macroinvertebrate Traitsby Sergio Canobbio, Valeria Mezzanotte, Davide Ballabio and Manuela PavanChapter 9The DART (Decision Analysis by Ranking Techniques) Softwareby A. Manganaro, D. Ballabio, V. Consonni, A. Mauri, M. Pavan and R. Todeschini
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