Inproceedings (mitzlaff2011community)
Mitzlaff, F.; Atzmueller, M.; Benz, D.; Hotho, A. & Stumme, G.
Community Assessment using Evidence Networks
2011, 6904
Misc (Leskovec2010)
Leskovec, J.; Lang, K. J. & Mahoney, M. W.
Empirical Comparison of Algorithms for Network Community Detection
2010
Proceedings (Gunawardana2935)
Gunawardana, A. & Shani, G.
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
2009, v10
Article (voelker2008aeon)
Völker, J.; Vrandečić, D.; Sure, Y. & Hotho, A.
AEON - An approach to the automatic evaluation of ontologies
Applied Ontology,
IOS Press,
2008, 3, 41-62
Inproceedings (1316677)
Farooq, U.; Kannampallil, T. G.; Song, Y.; Ganoe, C. H.; Carroll, J. M. & Giles, L.
Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics
ACM,
2007, 351-360
Inproceedings (PuWang:2007)
Wang, P.; Hu, J.; Zeng, H.-J.; Chen, L. & Chen, Z.
Improving Text Classification by Using Encyclopedia Knowledge
2007, 332-341
Inproceedings (dellschaft2006GoldEvalOntoLearn)
Dellschaft, K. & Staab, S.
On How to Perform a Gold Standard based Evaluation of Ontology Learning
Springer, LNCS,
2006
Inproceedings (brank2005)
Brank, J.; Grobelnik, M. & Mladenić, D.
A Survey of Ontology Evaluation Techniques
2005, 166-169
Techreport (fawcett04roc)
Fawcett, T.
ROC Graphs: Notes and Practical Considerations for Researchers
HP Laboratories,
2004
Article (herlocker04:_evalcoll)
Herlocker, J.; Konstan, J.; Terveen, L. & Riedl, J.
Evaluating Collaborative Filtering Recommender
Systems
ACM Transactions on Information Systems,
2004, 22, 5-53
Article (journals/ml/ZhaoK04)
Zhao, Y. & Karypis, G.
Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering
Machine Learning,
2004, 55, 311-331
Inproceedings (hotho_sigir03)
Hotho, A.; Staab, S. & Stumme, G.
WordNet improves text document clustering
2003
Inproceedings (comparing2003meila)
Meila, M.
Comparing clusterings
2003
Article (stgh02b)
Strehl, A. & Ghosh, J.
Cluster Ensembles -- A Knowledge Reuse Framework for Combining Multiple Partitions
Journal on Machine Learning Research (JMLR),
MIT Press,
2002, 3, 583-617
Book (hoeppner1999fuzzy)
Höppner, F.; Klawonn, F.; Kruse, R. & Runkler, T.
Fuzzy Cluster Analysis
John Wiley & Sons, Inc.,
1999
Techreport (Weingessel99)
Weingessel, A.; Dimitriadou, E. & Dolnicar, S.
An examination of indexes for determining the number of clusters in binary data sets
SFB ``Adaptive Information Systems and Modeling in Economics and Management Science'',
1999
Article (bezdek1997)
Bezdek, J. C.; Li, W. Q.; Attikiouzel, Y. & Windham, M.
A geometric approach to cluster validity for normal mixtures
Soft Computing - A Fusion of Foundations, Methodologies and Applications,
1997, 1, 166-179
Article (fickel97)
Fickel, N.
Clusteranalyse mit gemischt-skalierten Merkmalen: Abstrahierung vom Skalenniveau
Allgemeines Statistisches Archiv, Vandenhoeck & Ruprecht in Göttingen,
1997, 81, 249-265
Inproceedings (salton1988spreading)
Salton, G. & Buckley, C.
On the use of spreading activation methods in automatic information
ACM Press,
1988, 147-160
Book (siegel:b88)
Siegel, S. & Castellan, N.
Nonparametric statistics for the behavioral sciences
McGraw--Hill, Inc.,
1988