Logistic Regression with Expert Intervention
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00468130" target="_blank" >RIV/67985556:_____/16:00468130 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/16:00304139
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP.2016.7501032" target="_blank" >http://dx.doi.org/10.1109/SCSP.2016.7501032</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2016.7501032" target="_blank" >10.1109/SCSP.2016.7501032</a>
Alternative languages
Result language
angličtina
Original language name
Logistic Regression with Expert Intervention
Original language description
This paper deals with problem of analysis of traffic data. A traffic network has several types of roads: historical centre, peripherals, arterial roads, etc. They have specific properties. For a traffic analysis, large amounts of data are needed. Some traffic data are difficult to obtain due to their rarenoccurrence. Typical example is the investigation of traffic accidents. In these cases, data from other similar roads can be used. In such cases, an expert intervention added to the general analysis is very important. In this paper, the logistic regression with two types of expert intervention is briefly introduced. The performance of these methods is demonstrated on examples concerning seriousness of traffic accidents.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-03564S" target="_blank" >GA15-03564S: Clustering and classification using recursive mixture estimation</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SCSP 2016. Smart Cities Symposium Prague
ISBN
978-1-5090-1116-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Piscataway
Event location
Prague
Event date
May 26, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390205300022