TY  - THES
AU  - Bade, Korinna
T1  - Personalized Hierarchical Structuring
PY  - 2010/
PB  - University of Magdeburg
SP  - 
EP  - 
UR  - http://wwwiti.cs.uni-magdeburg.de/~kbade/Dissertation.pdf
M3  - 
KW  - hierarchical_clustering
KW  - hierarchical
KW  - diss
KW  - bade
L1  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - THES
AU  - Bade, Korinna
T1  - Personalized Hierarchical Structuring
PY  - 2009/
PB  - Otto-von-Guericke-Universitat Magdeburg
SP  - 
EP  - 
UR  - 
M3  - 
KW  - hierarchical
KW  - clustering
L1  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - CONF
AU  - Bade, Korinna
AU  - Benz, Dominik
A2  - 
T1  - Evaluation Strategies for Learning Algorithms of Hierarchical Structures
T2  - Proceedings of the 32nd Annual Conference of the German Classification Society - Advances in Data Analysis, Data Handling and Business Intelligence (GfKl 2008)
PB  - Springer
CY  - Berlin-Heidelberg
PY  - 2008/
M2  - 
VL  - 
IS  - 
SP  - 
EP  - 
UR  - http://www.kde.cs.uni-kassel.de/pub/pdf/bade2008evaluation.pdf
M3  - 
KW  - 2008
KW  - ol_web2.0
KW  - itegpub
KW  - widely_related
KW  - evaluation_strategies
KW  - hiearchies
KW  - myown
L1  - 
SN  - 
N1  - 
N1  - 
AB  - Several learning tasks comprise hierarchies. Comparison with a "goldstandard" is often performed to evaluate the quality of a learned hierarchy. We assembled various similarity metrics that have been proposed in different disciplines and compared them in a unified interdisciplinary framework for hierarchical evaluation which is based on the distinction of three fundamental dimensions. Identifying deficiencies for measuring structural similarity, we suggest three new measures for this purpose, either extending existing ones or based on new ideas. Experiments with an artificial dataset were performed to compare the different measures. As shown by our results, the measures vary greatly in their properties.
ER  -

TY  - CONF
AU  - Bade, Korinna
AU  - Benz, Dominik
A2  - 
T1  - Evaluation Strategies for Learning Algorithms of Hierarchical Structures
T2  - Proceedings of the 32nd Annual Conference of the German Classification Society - Advances in Data Analysis, Data Handling and Business Intelligence (GfKl 2008)
PB  - Springer
CY  - Berlin-Heidelberg
PY  - 2008/
M2  - 
VL  - 
IS  - 
SP  - 
EP  - 
UR  - http://www.kde.cs.uni-kassel.de/pub/pdf/bade2008evaluation.pdf
M3  - 
KW  - 2008
KW  - ol_web2.0
KW  - itegpub
KW  - widely_related
KW  - evaluation_strategies
KW  - hiearchies
KW  - myown
L1  - 
SN  - 
N1  - 
N1  - 
AB  - Several learning tasks comprise hierarchies. Comparison with a "goldstandard" is often performed to evaluate the quality of a learned hierarchy. We assembled various similarity metrics that have been proposed in different disciplines and compared them in a unified interdisciplinary framework for hierarchical evaluation which is based on the distinction of three fundamental dimensions. Identifying deficiencies for measuring structural similarity, we suggest three new measures for this purpose, either extending existing ones or based on new ideas. Experiments with an artificial dataset were performed to compare the different measures. As shown by our results, the measures vary greatly in their properties.
ER  -