Improving support estimates by fusion of pre-election data

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Improving support estimates by fusion of pre-election data

Year of publication

2016

Authors

Sirola, Miki; Talonen, Jaakko; Sulkava, Mika

Organizations and authors

Aalto University

Talonen Jaakko

Sirola Miki

Natural Resources Institute Finland

Sulkava Mika

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

International scientific journal of computing

Publisher

Research Institute for Intelligent Computer Systems

Volume

15

Issue

2

Pages

107-118

ISSN

1727-6209

​Publication forum

58997

​Publication forum level

1

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Computer and information sciences; Political science

Keywords

Data fusion; Election; time series

Publication country

Ukraine

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes