Editors:
- Discusses the latest automated valuation modeling (AVM) research
- Focuses on automated valuation modeling (AVM) and computer-assisted modeling
- Presents applications of numerical methods on mass appraisal models
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 86)
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Table of contents (22 chapters)
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Front Matter
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AVM, Valuation and Non-Agency Mortgage Crises: AVM, Mortgage Crises and Valuation in Person
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Front Matter
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AVM, Valuation and Non-Agency Mortgage Crises: Experiences in AVM
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Front Matter
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AVM Methodological Challenges: Dealing with the Spatial Issue
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Front Matter
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AVM Methodological Challenges: Non Deterministic Modelling
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Front Matter
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About this book
This book addresses several problems related to automated valuation methodologies (AVM). Following the non-agency mortgage crisis, it offers a variety of approaches to improve the efficiency and quality of an automated valuation methodology (AVM) dealing with emerging problems and different contexts. Spatial issue, evolution of AVM standards, multilevel models, fuzzy and rough set applications and quantitative methods to define comparables are just some of the topics discussed.
Editors and Affiliations
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Property Valuation & Investment DICATECh, Technical University Politecnico di Bari, Bari, Italy
Maurizio d'Amato
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School of the Built Environment, Oxford Brookes University, Headington, United Kingdom
Tom Kauko
Bibliographic Information
Book Title: Advances in Automated Valuation Modeling
Book Subtitle: AVM After the Non-Agency Mortgage Crisis
Editors: Maurizio d'Amato, Tom Kauko
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-49746-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-49744-0Published: 09 February 2017
Softcover ISBN: 978-3-319-84231-8Published: 13 July 2018
eBook ISBN: 978-3-319-49746-4Published: 28 January 2017
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXXVIII, 418
Number of Illustrations: 39 b/w illustrations
Topics: Computational Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods, Banking