Skip Navigation



Logic Journal of IGPL Advance Access published online on August 12, 2009
Logic Journal of IGPL, doi:10.1093/jigpal/jzp035
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Fisseler, J.
Right arrow Articles by Fehér, I.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Data fusion with probabilistic conditional logic

Jens Fisseler

Faculty of Mathematics and Computer Science, FernUniversität in Hagen, 58084 Hagen, Germany.
E-mail: jens.fisseler{at}fernuni-hagen.de

Imre Fehér

Magyar Telekom Plc., Hungary.
E-mail: feherimi{at}gmail.com.


  Abstract

Data fusion is the process of combining data and information from two or more sources. One of its application areas is market research, where it is used to combine data sets from different surveys, yielding a joint data set. Most data fusion studies use statistical matching as their fusion algorithm, which has several drawbacks. Therefore, we propose a novel approach to data fusion, based on knowledge discovery and knowledge representation with probabilistic conditional logic. We evaluate our approach on synthetic and real-world data, demonstrating its feasibility.

Key Words: data fusion • graphical models • probabilistic conditionals • maximum entropy

Received for publication 2 January 2008.
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.