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Filipe Afonso
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SYROKKO
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Latest developments of the SYR software for Symbolic Data Analysis of complex and big data
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Charles University in Prague
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Computational issues in linear regression with interval data
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Javier Arroyo Gallardo
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Complutense University of Madrid
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Distributions are the numbers of today: from histogram data to distributional data
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University of Ljubljana
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Temporal network analysis based on calculus of temporal quantities
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Lynne Billard
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University of Georgia
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Divisive Clustering with Hausdorff Distances
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FEP & LIADD- INESC TEC - UNIVERSITY of PORTO
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Exploratory data analysis for interval compositional data
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Francisco Carvalho
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Universidade Federal de Pernambuco - UFPE (Brazil)
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Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data
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UMR Economie publique, INRA-AgroParisTech
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Displaying empirical distributions of conditional quantile estimators: an application of principal component analysis and hierarchical clustering for intervals to the cost allocation problem in agriculture
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Edwin Diday
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Paris Dauphine University
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An overview on symbolic data analysis and some recent advances
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Richard Emilion
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Unversity of Orleans
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Dirichlet Models in SDA
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Anuska Ferligoj
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Faculty of Social Sciences, University of Ljubljana
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Classifying scientific disciplines in Slovenia: An application of hierarchical clustering procedure for symbolic data
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Hani HAMDAN
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École Supérieure d'Électricité (SUPÉLEC)
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The EM algorithm for interval-valued data
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Manabu Ichino
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Tokyo Denki University
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The Data Accumulation Graph (DAG) to Visualize Multi Dimensional Symbolic Data
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Jin-Tsong Jeng
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National Formosa University
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Implement Symbolic Data Clustering on Smart Phone
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Min-Seok Kwon
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Seoul National University
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IntVizMap : A visualization and mapping tool for interpreting genetic interaction data
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Yves Lechevallier
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INRIA
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Clustering On Dissimilarity Matrices Set and Partitioning of Time Series
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Sungyoung Lee
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Seoul National University
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Pancomine: An interactive multi-omics database for pancreatic cancer
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Taerim Lee
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Korea National Open University
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Symbolic Tree for Prognosis of Hepato Cellular Carcinoma
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Martin Lukusa
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Feng Chia University, PhD
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A Weighted Approach to Zero-Inflated Poisson Regression Models With Missing Data in Covariates.
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Masahiro Mizuta
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Hokkaido University
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Symbolic Data Analysis for Big Data
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Junji Nakano
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The Institute of Statistical Mathematics
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Visualization of aggregated symbolic data with real and categorical variables
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Monique Noirhomme-Fraiture
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University of Namur
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The place of the user in SDA
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Jungtaek Oh
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kyungpook national university
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On waiting time distribution of runs of ones or zeros in a Bernoulli sequence
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Nobuo Shimizu
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The Institute of Statistical Mathematics
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Dissimilarity between aggregated symbolic data with real and categorical variables
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Rosanna Verde
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Second University of Naples
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Dimensional reduction of numerical probabilistic symbolic data
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Cheng Wang
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BeiHang University
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Mapreduce for Sampling based Histogram PCA on Multicore
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Tsaipei Wang
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National Chiao Tung University
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Clustering People in Video
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Department of Mathematics, Tamkang University
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Dimension reduction and visualization of histogram data using sliced inverse regression
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Hiroshi Yadohisa / Ikufumi Takagi
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Doshisha University
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Constrained VPCA for interval-valued data
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Chung Yuan Christian University
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Exponential-type Robust Clustering and its Applications to Interval Data
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