An Overview of Collapsibility (English)
- New search for: De Cantis, S.
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In:
International Federation of Classification Societies:; Classification, clustering, and data mining applications
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587-596
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2004
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ISBN:
- Conference paper / Print
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Title:An Overview of Collapsibility
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Contributors:
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Conference:9th:; Conference, International Federation of Classification Societies:; Classification, clustering, and data mining applications ; 2004 ; Chicago, Ill
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Published in:
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Publisher:
- New search for: Springer,
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Place of publication:Berlin , New York:
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Publication date:2004-01-01
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Size:10 pages
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ISBN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Keywords:
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Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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Thinking UltrametricallyMurtagh, F. et al. | 2004
- 15
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Clustering by Vertex Density in a GraphGuenoche, A. et al. | 2004
- 25
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Clustering by Ant Colony OptimizationTrejos, J. / Murillo, A. / Piza, E. et al. | 2004
- 33
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A Dynamic Cluster Algorithm Based on L~r Distances for Quantitative Datade AT. de Carvalho, F. / Lechevallier, Y. / de Souza, R. M. C. R. et al. | 2004
- 43
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The Last Step of a New Divisive Monothetic Clustering Method: the Gluing-Back CriterionPircon, J.-Y. / Rasson, J.-P. et al. | 2004
- 53
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Standardizing Variables in K-means ClusteringSteinley, D. et al. | 2004
- 61
-
A Self-Organizing Map for Dissimilarity DataEl Golli, A. / Conan-Guez, B. / Rossi, F. et al. | 2004
- 69
-
Another Version of the Block EM AlgorithmNadif, M. / Govaert, G. et al. | 2004
- 77
-
Controlling the Level of Separation of Components in Monte Carlo Studies of Latent Class ModelsDias, J. G. et al. | 2004
- 85
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Fixing Parameters in the Constrained Hierarchical Classification Method: Application to Digital Image SegmentationBachar, K. / Lerman, I.-C. et al. | 2004
- 95
-
New Approaches for Sum-of-Diameters ClusteringRamnath, S. / Khan, M. H. / Shams, Z. et al. | 2004
- 105
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Spatial Pyramidal Clustering Based on a TessellationDiday, E. et al. | 2004
- 123
-
Relative Projection Pursuit and its ApplicationMizuta, M. / Hiro, S. et al. | 2004
- 141
-
Priors for Neural NetworksLee, H. K. H. et al. | 2004
- 151
-
Combining Models in Discrete Discriminant Analysis Through a Committee of MethodsFerreira, A. S. et al. | 2004
- 157
-
Phoneme Discrimination with Functional Multi-Layer PerceptronsConan-Guez, B. / Rossi, F. et al. | 2004
- 167
-
PLS Approach for Clusterwise Linear Regression on Functional DataPreda, C. / Saporta, G. et al. | 2004
- 177
-
On Classification and Regression Trees for Multiple ResponsesLee, S. K. et al. | 2004
- 185
-
Subsetting Kernel Regression Models Using Genetic Algorithm and the Information Measure of ComplexityBao, X. / Bozdogan, H. et al. | 2004
- 197
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Cherry-Picking as a Robustness ToolHouse, L. L. / Banks, D. et al. | 2004
- 209
-
Academic Obsessions and Classification Realities: Ignoring Practicalities in Supervised ClassificationHand, D. J. et al. | 2004
- 233
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Modified Biplots for Enhancing Two-Class Discriminant AnalysisGardner, S. / le Roux, N. et al. | 2004
- 241
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Weighted Likelihood Estimation of Person Locations in an Unfolding Model for Polytomous ResponsesLuo, G. / Andrich, D. et al. | 2004
- 251
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Classification of Geospatial Lattice Data and their Graphical RepresentationKurihara, K. et al. | 2004
- 259
-
Degenerate Expectation-Maximization Algorithm for Local Dimension ReductionLin, X. / Zhu, Y. et al. | 2004
- 269
-
A Dimension Reduction Technique for Local Linear RegressionLucas, J. et al. | 2004
- 277
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Reducing the Number of Variables Using Implicative AnalysisCouturier, R. / Gras, R. / Guillet, F. et al. | 2004
- 287
-
Optimal Discretization of Quantitative Attributes for Association RulesBorn, S. / Schmidt-Thieme, L. et al. | 2004
- 299
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Clustering Methods in Symbolic Data AnalysisVerde, R. et al. | 2004
- 319
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Dependencies in Bivariate Interval-Valued Symbolic DataBillard, L. et al. | 2004
- 325
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Clustering of Symbolic Objects Described by Multi-Valued and Modal VariablesHardy, A. / Lallemand, P. et al. | 2004
- 333
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A Hausdorff Distance Between Hyper-Rectangles for Clustering Interval DataChavent, M. et al. | 2004
- 341
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Kolmogorov-Smirnov for Decision Trees on Interval and Histogram VariablesMballo, C. / Diday, E. et al. | 2004
- 351
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Dynamic Cluster Methods for Interval Data Based on Mahalanobis Distancesde Souza, R. M. C. R. / de AT. de Carvalho, F. / Tenorio, C. P. / Lechevallier, Y. et al. | 2004
- 361
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A Symbolic Model-Based Approach for Making Collaborative Group Recommendationsde MQueiroz, S. R. / de AT. de Carvalho, F. et al. | 2004
- 371
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Probabilistic Allocation of Aggregated Statistical Units in Classification Trees for Symbolic Class DescriptionLimam, M. M. / Diday, E. / Winsberg, S. et al. | 2004
- 381
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Building Small Scale Models of Multi-Entity Databases by ClusteringHebrail, G. / Lechevallier, Y. et al. | 2004
- 395
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Phylogenetic Closure Operations and Homoplasy-Free EvolutionDezulian, T. / Steel, M. et al. | 2004
- 417
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Consensus of Classification Systems, with Adams' Results RevisitedDomenach, F. / Leclerc, B. et al. | 2004
- 429
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Symbolic Linear Regression with TaxonomiesAfonso, F. / Billard, L. / Diday, E. et al. | 2004
- 439
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Determining Horizontal Gene Transfers in Species Classification: Unique ScenarioMakarenkov, V. / Boc, A. / Diallo, A. B. et al. | 2004
- 447
-
Active and Passive Learning to Explore a Complex Metabolism Data SetSimmons, S. J. / Lin, X. / Beecher, C. / Truong, Y. / Young, S. S. et al. | 2004
- 457
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Mathematical and Statistical Modeling of Acute InflammationClermont, G. / Chow, C. C. / Constantine, G. M. / Vodovotz, Y. / Bartels, J. et al. | 2004
- 469
-
Combining Functional MRI Data on Multiple SubjectsVangel, M. G. et al. | 2004
- 477
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Classifying the State of Parkinsonism by Using Electronic Force Platform Measures of BalanceBohnen, N. I. / Buliga, M. G. / Constantine, G. M. et al. | 2004
- 485
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Subject Filtering for Passive Biometric MonitoringGrigoryan, V. / Chiarulli, D. / Hauskrecht, M. et al. | 2004
- 495
-
Mining Massive Text Data and Developing Tracking StatisticsJeske, D. R. / Liu, R. Y. et al. | 2004
- 511
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Contributions of Textual Data Analysis to Text RetrievalBalbi, S. / Di Meglio, E. et al. | 2004
- 521
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Automated Resolution of Noisy Bibliographic ReferencesDemleitner, M. / Kurtz, M. / Accomazzi, A. / Eichhorn, G. / Grant, C. S. / Murray, S. S. et al. | 2004
- 531
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Choosing the Right Bigrams for Information RetrievalJiang, M. / Jensen, E. / Beitzel, S. / Argamon, S. et al. | 2004
- 541
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A Mixture Clustering Model for Pseudo Feedback in Information RetrievalTao, T. / Zhai, C. et al. | 2004
- 553
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Analysis of Cross-Language Open-Ended Questions Through MFACTBecue, M. / Pages, J. / Pardo, C.-E. et al. | 2004
- 563
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Inferring User's Information Context from User Profiles and Concept HierarchiesSieg, A. / Mobasher, B. / Burke, R. et al. | 2004
- 575
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Database Selection for Longer QueriesWu, W. / Yu, C. / Meng, W. et al. | 2004
- 587
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An Overview of CollapsibilityDe Cantis, S. / Oliveri, A. M. et al. | 2004
- 597
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Generalized Factor Analyses for Contingency TablesBavaud, F. et al. | 2004
- 607
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A PLS Approach to Multiple Table AnalysisTenenhaus, M. et al. | 2004
- 621
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Simultaneous Row and Column Partitioning in Several Contingency TablesLoonis, V. et al. | 2004
- 631
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Missing Data and Imputation Methods in Partition of Variablesda Silva, A. L. / Saporta, G. / Bacelar-Nicolau, H. et al. | 2004
- 639
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The Treatment of Missing Values and its Effect on Classifier AccuracyAcuna, E. / Rodriguez, C. et al. | 2004
- 649
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Clustering with Missing Values: No Imputation RequiredWagstaff, K. et al. | 2004