TY  - CONF
T1  - Clustering on Dynamic Social Network Data
A1  - Held, Pascal
A1  - Dannies, Kai
ED  - Kruse, Rudolf
ED  - Berthold, Michael R.
ED  - Moewes, Christian
ED  - Gil, María Ángeles
ED  - Grzegorzewski, Przemysław
ED  - Hryniewicz, Olgierd
T3  - Advances in Intelligent Systems and Computing (AISC)
Y1  - 2012
VL  - 190
SP  - 563
EP  - 571
PB  - Springer-Verlag
AD  - Heidelberg Berlin
SN  - 978-3-642-33041-4
UR  - http://www.springer.com/978-3-642-33041-4
M2  - doi: 10.1007/978-3-642-33042-1_60
N2  - This paper presents a reference data set along with a labeling
for graph clustering algorithms, especially for those handling dynamic graph
data. We implemented a modication of Iterative Conductance Cutting and
a spectral clustering. As base data set we used a ltered part of the Enron
corpus. Dierent cluster measurements, as intra-cluster density, inter-cluster
sparseness, and Q-Modularity were calculated on the results of the clustering
to be able to compare results from other algorithms.
ER  -
TY  - CONF
ID  - kruse_synergies_2012
T1  - Synergies of Soft Computing and Statistics for Intelligent Data Analysis
ED  - Kruse, Rudolf
ED  - Berthold, Michael R.
ED  - Moewes, Christian
ED  - Gil, María Ángeles
ED  - Grzegorzewski, Przemysław
ED  - Hryniewicz, Olgierd
T3  - Advances in Intelligent Systems and Computing (AISC)
Y1  - 2013
VL  - 190
PB  - Springer-Verlag
AD  - Heidelberg Berlin
SN  - 978-3-642-33041-4
UR  - http://www.springer.com/978-3-642-33041-4
M2  - doi: 10.1007/978-3-642-33042-1
KW  - Computational Intelligence
KW  - Intelligent data analysis
KW  - SMPS2012
ER  -