DocumentCode
2700503
Title
The Windmill Method for Setting up Support for Resolving Sparse Incidents in Communication Networks
Author
Ferro, Duco N. ; Jonker, Catholijn M. ; Salden, Alfons H.
Author_Institution
Almende B.V., Rotterdam, Netherlands
fYear
2009
fDate
24-27 June 2009
Firstpage
137
Lastpage
142
Abstract
This paper introduces the Windmill method for constructing situation sensitive communication support systems for organizations consisting of a network of autonomous professionals involved in standard duties encountering occasional incidents of a time-critical nature for which they have to call for help. The Windmill method is based on statistical data filtering techniques for ranking available resources to handle incident according to their availability, location, skills and experience. It is especially useful for domains in which the human workforce changes over time and incidents are relatively sparse with respect to location and frequency of occurrence.
Keywords
information filtering; statistical analysis; Windmill method; communication networks; situation sensitive communication support systems; sparse incidents; statistical data filtering techniques; time-critical nature; Communication networks; Computer networks; Crisis management; Delay; Disaster management; Military standards; Personnel; Scheduling; Standards organizations; Surveillance; Professional Task Setting with Incidents; communication networks; incident management; instance-based learning; recommender technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Aspects of Social Networks, 2009. CASON '09. International Conference on
Conference_Location
Fontainbleu
Print_ISBN
978-1-4244-4613-1
Type
conf
DOI
10.1109/CASoN.2009.17
Filename
5176113
Link To Document