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ORCID36. GfKl 2012: Hildesheim, Germany
- Myra Spiliopoulou, Lars Schmidt-Thieme
, Ruth Janning:
Data Analysis, Machine Learning and Knowledge Discovery - Proceedings of the 36th Annual Conference of the Gesellschaft für Klassifikation e. V., Hildesheim, Germany, August 2012. Studies in Classification, Data Analysis, and Knowledge Organization, Springer 2014, ISBN 978-3-319-01594-1 - Udo Bankhofer, Dieter William Joenssen:
On Limiting Donor Usage for Imputation of Missing Data via Hot Deck Methods. 3-11 - Tim Beige, Thomas Terhorst, Claus Weihs, Holger Wormer:
The Most Dangerous Districts of Dortmund. 13-21 - Bernd Bischl, Julia Schiffner, Claus Weihs:
Benchmarking Classification Algorithms on High-Performance Computing Clusters. 23-31 - Justyna Brzezinska:
Visual Models for Categorical Data in Economic Research. 33-40 - Christian Hennig:
How Many Bee Species? A Case Study in Determining the Number of Clusters. 41-49 - Nguyen Hoang Huy, Stefan Frenzel, Christoph Bandt:
Two-Step Linear Discriminant Analysis for Classification of EEG Data. 51-59 - Florian Klapproth, Sabine Krolak-Schwerdt, Thomas Hörstermann, Romain Martin:
Predictive Validity of Tracking Decisions: Application of a New Validation Criterion. 61-69 - Tatjana Lange, Karl Mosler, Pavlo Mozharovskyi:
DDα-Classification of Asymmetric and Fat-Tailed Data. 71-78 - Tatjana Lange, Pavlo Mozharovskyi:
The Alpha-Procedure: A Nonparametric Invariant Method for Automatic Classification of Multi-Dimensional Objects. 79-86 - Oliver Meyer, Bernd Bischl, Claus Weihs:
Support Vector Machines on Large Data Sets: Simple Parallel Approaches. 87-95 - Hans-Joachim Mucha, Hans-Georg Bartel:
Soft Bootstrapping in Cluster Analysis and Its Comparison with Other Resampling Methods. 97-104 - Hans-Joachim Mucha, Hans-Georg Bartel, Jens Dolata:
Dual Scaling Classification and Its Application in Archaeometry. 105-113 - Tobias Voigt, Roland Fried, Michael Backes, Wolfgang Rhode:
Gamma-Hadron-Separation in the MAGIC Experiment. 115-124 - Maheen Bakhtyar, Nam Dang, Katsumi Inoue, Lena Wiese:
Implementing Inductive Concept Learning For Cooperative Query Answering. 127-134 - Matthew Bolaños, John Forrest, Michael Hahsler:
Clustering Large Datasets Using Data Stream Clustering Techniques. 135-143 - Krisztián Búza:
Feedback Prediction for Blogs. 145-152 - Sandrine Mouysset, Joseph Noailles, Daniel Ruiz, Clovis Tauber:
Spectral Clustering: Interpretation and Gaussian Parameter. 153-162 - Robin Senge, Juan José del Coz, Eyke Hüllermeier:
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification. 163-170 - Igor Vatolkin, Bernd Bischl, Günter Rudolph, Claus Weihs:
Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition. 171-178 - Michel Ballings, Dirk Van den Poel:
The Dangers of Using Intention as a Surrogate for Retention in Brand Positioning Decision Support Systems. 181-188 - Christina Lichtenthäler, Lars Schmidt-Thieme:
Multinomial SVM Item Recommender for Repeat-Buying Scenarios. 189-197 - Anneke Minke, Klaus Ambrosi:
Predicting Changes in Market Segments Based on Customer Behavior. 199-207 - Marcin Pelka:
Symbolic Cluster Ensemble based on Co-Association Matrix versus Noisy Variables and Outliers. 209-216 - Susanne Rumstadt, Daniel Baier:
Image Feature Selection for Market Segmentation: A Comparison of Alternative Approaches. 217-225 - Sebastian Selka, Daniel Baier, Peter Kurz:
The Validity of Conjoint Analysis: An Investigation of Commercial Studies Over Time. 227-234 - Sascha Voekler, Daniel Baier:
Solving Product Line Design Optimization Problems Using Stochastic Programming. 235-243 - Miguel Biron, Cristián Bravo:
On the Discriminative Power of Credit Scoring Systems Trained on Independent Samples. 247-254 - Lukasz Feldman, Radoslaw Pietrzyk, Pawel Rokita:
A Practical Method of Determining Longevity and Premature-Death Risk Aversion in Households and Some Proposals of Its Application. 255-264 - Bartosz Kaszuba:
Correlation of Outliers in Multivariate Data. 265-272 - Krzysztof Piontek:
Value-at-Risk Backtesting Procedures Based on Loss Functions: Simulation Analysis of the Power of Tests. 273-281 - Andre Burkovski, Ludwig Lausser, Johann M. Kraus, Hans A. Kestler:
Rank Aggregation for Candidate Gene Identification. 285-293 - Dominik Heider, Christoph Bartenhagen, Jan Nikolaj Dybowski, Sascha Hauke, Martin Pyka, Daniel Hoffmann:
Unsupervised Dimension Reduction Methods for Protein Sequence Classification. 295-302 - Florian Schmid, Ludwig Lausser, Hans A. Kestler:
Three Transductive Set Covering Machines. 303-311 - Nadja Bauer, Klaus Friedrichs, Dominik Kirchhoff, Julia Schiffner, Claus Weihs:
Tone Onset Detection Using an Auditory Model. 315-324 - André Busche, Ruth Janning, Tomás Horváth, Lars Schmidt-Thieme:
A Unifying Framework for GPR Image Reconstruction. 325-332 - Markus Eichhoff, Claus Weihs:
Recognition of Musical Instruments in Intervals and Chords. 333-341 - Sonja Hahn:
ANOVA and Alternatives for Causal Inferences. 343-350 - Irmela Herzog:
Testing Models for Medieval Settlement Location. 351-358 - Kay F. Hildebrand:
Supporting Selection of Statistical Techniques. 359-367 - Ruben Hillewaere, Bernard Manderick, Darrell Conklin:
Alignment Methods for Folk Tune Classification. 369-377 - Thomas Hörstermann, Sabine Krolak-Schwerdt:
Comparing Regression Approaches in Modelling Compensatory and Noncompensatory Judgment Formation. 379-387 - Daniel Kasper, Ali Ünlü, Bernhard Gschrey:
Sensitivity Analyses for the Mixed Coefficients Multinomial Logit Model. 389-396 - Hanna M. Lukashevich:
Confidence Measures in Automatic Music Classification. 397-405 - Matthias Trendtel, Ali Ünlü, Daniel Kasper, Sina Stubben:
Using Latent Class Models with Random Effects for Investigating Local Dependence. 407-416 - Ali Ünlü, Daniel Kasper, Matthias Trendtel, Michael Schurig:
The OECD's Programme for International Student Assessment (PISA) Study: A Review of Its Basic Psychometric Concepts. 417-425 - Igor Vatolkin, Günther Rötter, Claus Weihs:
Music Genre Prediction by Low-Level and High-Level Characteristics. 427-434 - Magnus Pfeffer:
Using Clustering Across Union Catalogues to Enrich Entries with Indexing Information. 437-445 - Silke Rehme, Michael Schwantner:
Text Mining for Ontology Construction. 447-454 - Dominique Ritze, Kai Eckert:
Data Enrichment in Discovery Systems Using Linked Data. 455-462
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