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ORCIDData Science and Classification 2006
- Vladimir Batagelj, Hans-Hermann Bock, Anuska Ferligoj, Ales Ziberna
:
Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization, Springer 2006, ISBN 978-3-540-34415-5
Part I / Similarity and Dissimilarity
- Emmanuel Blanchard, Pascale Kuntz, Mounira Harzallah, Henri Briand:
A Tree-Based Similarity for Evaluating Concept Proximities in an Ontology. 3-11 - Ahlame Douzal Chouakria, Panduranga Naidu Nagabhushan:
Improved Fréchet Distance for Time Series. 13-20 - Lucile Denoeud, Alain Guénoche:
Comparison of Distance Indices Between Partitions. 21-28 - Christian Hennig, Bernhard Hausdorf:
Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas. 29-37 - Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva:
Dissimilarities for Web Usage Mining. 39-46 - Remco C. Veltkamp, Longin Jan Latecki:
Properties and Performance of Shape Similarity Measures. 47-56
Part II / Classification and Clustering
- Javier Arroyo, Carlos G. Maté, Antonio Muñoz San Roque:
Hierarchical Clustering for Boxplot Variables. 59-66 - Farid Beninel, Michel Rehomme:
Evaluation of Allocation Rules Under Some Cost Constraints. 67-73 - Slavka Bodjanova:
Crisp Partitions Induced by a Fuzzy Set. 75-82 - Marie Chavent, Yves Lechevallier:
Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering Methods. 83-90 - José Dias:
Model Selection for the Binary Latent Class Model: A Monte Carlo Simulation. 91-99 - Hans-Joachim Mucha:
Finding Meaningful and Stable Clusters Using Local Cluster Analysis. 101-108 - Hans J. Vos, Ruth Ben-Yashar, Shmuel Nitzan:
Comparing Optimal Individual and Collective Assessment Procedures. 109-116
Part III / Network and Graph Analysis
- Patrick Doreian:
Some Open Problem Sets for Generalized Blockmodeling. 119-130 - François Bavaud:
Spectral Clustering and Multidimensional Scaling: A Unified View. 131-139 - Vladimir Batagelj, Natasa Kejzar, Simona Korenjak-Cerne, Matjaz Zaversnik:
Analyzing the Structure of U.S. Patents Network. 141-148 - Matteo Roffilli, Alessandro Lomi:
Identifying and Classifying Social Groups: A Machine Learning Approach. 149-157
Part IV / Analysis of Symbolic Data
- Patrick J. F. Groenen, Suzanne Winsberg:
Multidimensional Scaling of Histogram Dissimilarities. 161-170 - Carlo Lauro, Federica Gioia:
Dependence and Interdependence Analysis for Interval-Valued Variables. 171-183 - Antonio Irpino, Rosanna Verde:
A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data. 185-192 - Yves Lechevallier, Rosanna Verde, Francisco de A. T. de Carvalho:
Symbolic Clustering of Large Datasets. 193-201 - Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato:
A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data. 203-210
Part V / General Data Analysis Methods
- Nathalie Cheze, Jean-Michel Poggi:
Iterated Boosting for Outlier Detection. 213-220 - Sugnet Gardner, Niël J. le Roux:
Sub-species of Homopus Areolatus? Biplots and Small Class Inference with Analysis of Distance. 221-228 - Karina Gibert, Alejandra Pérez-Bonilla:
Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables. 229-237
Part VI / Data and Web Mining
- Andrei Gagarin, Dmytro Kevorkov, Vladimir Makarenkov, Pablo Zentilli:
Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data. 241-249 - Miha Grcar, Blaz Fortuna, Dunja Mladenic, Marko Grobelnik:
kNN Versus SVM in the Collaborative Filtering Framework. 251-260 - Christoph Schmitz, Andreas Hotho, Robert Jäschke, Gerd Stumme:
Mining Association Rules in Folksonomies. 261-270 - Karen H. L. Tso, Lars Schmidt-Thieme:
Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data. 271-278 - Ralf Wagner:
Patterns of Associations in Finite Sets of Items. 279-286
Part VII / Analysis of Music Data
- Klaus Frieler:
Generalized N-gram Measures for Melodic Similarity. 289-298 - Daniel Müllensiefen, Klaus Frieler:
Evaluating Different Approaches to Measuring the Similarity of Melodies. 299-306 - Katrin Sommer, Claus Weihs:
Using MCMC as a Stochastic Optimization Procedure for Musical Time Series. 307-314 - Claus Weihs, Gero Szepannek, Uwe Ligges, Karsten Luebke, Nils Raabe:
Local Models in Register Classification by Timbre. 315-322
Part VIII / Gene and Microarray Analysis
- Edgar Acuña, Jaime Porras:
Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection. 325-332 - Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette, François-Joseph Lapointe:
A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model. 333-340 - Vladimir Makarenkov, Alix Boc, Charles F. Delwiche, Alpha Boubacar Diallo, Hervé Philippe:
New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios. 341-349
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