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ORCIDHDSDA 2011: Beijing, China
- Yves Lechevallier, Gilbert Saporta, Rong Guan, Huiwen Wang:
Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, HDSDA 2011, October 27-30, 2011, Beihang University, Beijing, China. RNTI E-25, Hermann-Éditions 2013 - Edwin Diday, Filipe Afonso, Raja Haddad:
The symbolic data analysis paradigm, discriminant discretization and financial application. 1-14 - Rong Guan, Yves Lechevallier, Huiwen Wang:
Adaptive Dynamic Clustering Algorithm for Interval-valued Data based on Squared-Wasserstein Distance. 15-30 - Lynne Billard, Jennifer Le-Rademacher:
Symbolic Principal Components for Interval-Valued Data. 31-39 - Dingmu Cao, Wen Long:
The style characteristic of China's stock market: an application to PCA for interval symbolic data. 40-57 - Marc Csernel, Francisco de Assis Tenório de Carvalho:
Normalizing Constrained Symbolic Data for Clustering. 58-77 - Rosanna Verde, Antonio Irpino:
Multiple Linear Regression for Histogram Data using Least Squares of Quantile Functions: a Two-components model. 78-93 - Sun Makosso-Kallyth:
Analysis of m sets of symbolic interval variables. 93-108 - Aida Eslami, Achim Kohler, Mostafa El Qannari, Stéphanie Bougeard:
General overview of methods of analysis of multi-group datasets. 108-123 - Ndèye Niang, Mory Ouattara:
Hierarchical Mixed Topological Maps. 123-138 - Meiling Chen, Huiwen Wang:
Principal Component Analysis of Functional Data based on Constant Numerical Characteristics. 138-154 - Amine Louati, Marie-Aude Aufaure, Yves Lechevallier:
Graph Aggregation : Application to Social Networks. 157-177 - Julie Séguéla, Gilbert Saporta:
A hybrid recommender system to predict online job offer performance. 177-197
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