Environmental Software Systems. Infrastructures, Services and Applications
11th IFIP WG 5.11 International Symposium, ISESS 2015, Melbourne, VIC, Australia, March 25-27, 2015, Proceedings
Published on 13. October 2016
Book
Paperback/Softback
XX, 611 pages
978-3-319-38668-3 (ISBN)
Description
This book constitutes the refereed proceedings of the 11th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2015, held in Melbourne, Australia, in March 2015. The 62 revised full papers presented were carefully reviewed and selected from 104 submissions. The papers are organized in the following topical sections: information systems, information modeling and semantics; decision support tools and systems; modelling and simulation systems; architectures, infrastructures, platforms and services; requirements, software engineering and software tools; analytics and visualization; and high-performance computing and big data.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
206 farbige Abbildungen
XX, 611 p. 206 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 34 mm
Weight
943 gr
ISBN-13
978-3-319-38668-3 (9783319386683)
DOI
10.1007/978-3-319-15994-2
Schweitzer Classification
Other editions
Additional editions
Ralf Denzer | Robert M. Argent | Gerald Schimak
Environmental Software Systems. Infrastructures, Services and Applications
11th IFIP WG 5.11 International Symposium, ISESS 2015, Melbourne, VIC, Australia, March 25-27, 2015, Proceedings
Book
03/2015
Springer
€106.99
Shipment within 10-15 days
Content
Information systems, information modeling and semantics.- Decision support tools and systems.- Modelling and simulation systems.- Architectures, infrastructures, platforms and services.- Requirements, software engineering and software tools.- Analytics and visualization.-High-performance computing and big data.