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Vol-1231⫷
Vol-1232
⫸Vol-1233
urn:nbn:de:0074-1232-3
Copyright ©
2014
for the individual papers
by the papers' authors. Copying permitted only for private and academic purposes.
This volume is published and copyrighted by its editors.
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LD4KD 2014
Linked Data for Knowledge Discovery
Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery
co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
in Databases (
ECML PKDD 2014
)
Nancy, France
,
September 19th, 2014
.
Edited by
Ilaria Tiddi
, KMi, The Open University, UK
Mathieu d'Aquin
, KMi, The Open University, UK
Nicolas Jay
, Orpailleur, Loria, France
Table of Contents
-
A Comparison of Propositionalization Strategies for Creating Features from Linked
Open Data
Petar Ristoski
,
Heiko Paulheim
-
Fast Stepwise Regression on Linked Data
Barbara Żogała-Siudem
,
Szymon Jaroszewicz
-
Contextual Itemset Mining in DBpedia
Julien Rabatel
,
Madalina Croitoru
,
Dino Ienco
,
Pascal Poncelet
-
Identifying Disputed Topics in the News
Orphée De Clercq
,
Sven Hertling
,
Veronique Hoste
,
Simone Paolo Ponzetto
,
Heiko Paulheim
-
Lattice-Based Views over SPARQL Query Results
Mehwish Alam
,
Amedeo Napoli
-
Visual Analysis of a Research Group's Performance thanks to Linked Open Data
Oscar Peña
,
Jon Lázaro
,
Aitor Almeida
,
Pablo Orduña
,
Unai Aguilera
,
Diego López-De-Ipiña
-
Machine Learning on Linked Data, a Position Paper
Peter Bloem
,
Gerben De Vries
-
Probabilistic Latent-Factor Database Models
Denis Krompass
,
Xueyan Jiang
,
Maximilian Nickel
,
Volker Tresp
The whole proceedings can also be downloaded as a single file (
PDF
, including title pages, preface, and table of contents).
We offer a
BibTeX file
for citing papers of this workshop from LaTeX.
2014-09-08: submitted by
Ilaria Tiddi
2014-09-10
: published on CEUR-WS.org
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