Batagelj, Vladimir
Data Science and Classification
Part I. Similarity and Dissimilarity
1. A Tree-Based Similarity for Evaluating Concept Proximities in an Ontology
Emmanuel Blanchard, Pascale Kuntz, Mounira Harzallah, Henri Briand
2. Improved Fréchet Distance for Time Series
Ahlame Chouakria-Douzal, Panduranga Naidu Nagabhushan
3. Comparison of Distance Indices Between Partitions
Lucile Denœud, Alain Guénoche
4. Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas
Christian Hennig, Bernhard Hausdorf
5. Dissimilarities for Web Usage Mining
Fabrice Rossi, Francisco Carvalho, Yves Lechevallier, Alzennyr Silva
6. Properties and Performance of Shape Similarity Measures
Remco C. Veltkamp, Longin Jan Latecki
Part II. Classification and Clustering
7. Hierarchical Clustering for Boxplot Variables
Javier Arroyo, Carlos Maté, Antonio Muñoz-San Roque
8. Evaluation of Allocation Rules Under Some Cost Constraints
Farid Beninel, Michel Grun Rehomme
9. Crisp Partitions Induced by a Fuzzy Set
Slavka Bodjanova
10. Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering Methods
Marie Chavent, Yves Lechevallier
11. Model Selection for the Binary Latent Class Model: A Monte Carlo Simulation
José G. Dias
12. Finding Meaningful and Stable Clusters Using Local Cluster Analysis
Hans-Joachim Mucha
13. Comparing Optimal Individual and Collective Assessment Procedures
Hans J. Vos, Ruth Ben-Yashar, Shmuel Nitzan
Part III. Network and Graph Analysis
14. Some Open Problem Sets for Generalized Blockmodeling
Patrick Doreian
15. Spectral Clustering and Multidimensional Scaling: A Unified View
François Bavaud
16. Analyzing the Structure of U.S. Patents Network
Vladimir Batagelj, Nataša Kejžar, Simona Korenjak-Cerne, Matjaž Zaveršnik
17. Identifying and Classifying Social Groups: A Machine Learning Approach
Matteo Roffilli, Alessandro Lomi
Part IV. Analysis of Symbolic Data
18. Multidimensional Scaling of Histogram Dissimilarities
Patrick J. F. Groenen, Suzanne Winsberg
19. Dependence and Interdependence Analysis for Interval-Valued Variables
Carlo Lauro, Federica Gioia
20. A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data
Antonio Irpino, Rosanna Verde
21. Symbolic Clustering of Large Datasets
Yves Lechevallier, Rosanna Verde, Francisco de A. T. Carvalho
22. A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data
Renata M. C. R. Souza, Francisco de A. T. Carvalho, Daniel Ferrari Pizzato
Part V. General Data Analysis Methods
23. Iterated Boosting for Outlier Detection
Nathalie Cheze, Jean-Michel Poggi
24. Sub-species of
Sugnet Gardner, Niël J. Roux
25. Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables
Karina Gibert, Alejandra Pérez-Bonilla
Part VI. Data and Web Mining
26. Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data
Andrei Gagarin, Dmytro Kevorkov, Vladimir Makarenkov, Pablo Zentilli
27. kNN Versus SVM in the Collaborative Filtering Framework
Miha Grcar, Blaž Fortuna, Dunja Mladenic, Marko Grobelnik
28. Mining Association Rules in Folksonomies
Christoph Schmitz, Andreas Hotho, Robert Jäschke, Gerd Stumme
29. Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data
Karen H. L. Tso, Lars Schmidt-Thieme
30. Patterns of Associations in Finite Sets of Items
Ralf Wagner
Part VII. Analysis of Music Data
31. Generalized N-gram Measures for Melodic Similarity
Klaus Frieler
32. Evaluating Different Approaches to Measuring the Similarity of Melodies
Daniel Müllensiefen, Klaus Frieler
33. Using MCMC as a Stochastic Optimization Procedure for Musical Time Series
Katrin Sommer, Claus Weihs
34. Local Models in Register Classification by Timbre
Claus Weihs, Gero Szepannek, Uwe Ligges, Karsten Luebke, Nils Raabe
Part VIII. Gene and Microarray Analysis
35. Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection
Edgar Acuña, Jaime Porras
36. A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model
Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette, François-Joseph Lapointe
37. New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios
Vladimir Makarenkov, Alix Boc, Charles F. Delwiche, Alpha Boubacar Diallo, Hervé Philippe
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Keywords: MATHEMATICS / Probability & Statistics / General MAT029000
- Author(s)
- Batagelj, Vladimir
- Bock, Hans-Hermann
- Ferligoj, Anuška
- Žiberna, Aleš
- Publisher
- Springer
- Publication year
- 2006
- Language
- en
- Edition
- 1
- Category
- Natural Sciences
- Format
- Ebook
- eISBN (PDF)
- 9783540344162