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Symbolic Data Analysis: another look at the interaction of Data Mining and Statistics
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Usual operations with symbolic data under normal symbolic form
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Symbolic Data Analysis and the SODAS Software
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Hierarchical and Pyramidal Clustering
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Visualizing Symbolic Data by Kohonen Maps
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Generalized Canonical Analysis
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Factor Discriminant Analysis
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Unsupervised Divisive Classification
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Clustering large data sets described with discrete distributions and its application on TIMSS data set
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The quantile method for symbolic principal component analysis
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Far beyond the classical data models: symbolic data analysis
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Principal Component Analysis for Non-Precise Data
inferredcites →https://doi.org/10.1007/3-540-34416-0_20openalex-snapshot
A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data
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Data Stream Summarization by Histograms Clustering
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Social Networks as Symbolic Data
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Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances
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Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances
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Dynamic Clustering of Histogram Data: Using the Right Metric
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On the Analysis of Symbolic Data
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Clustering of Symbolic Objects Described by Multi-Valued and Modal Variables
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Dynamic Cluster Methods for Interval Data Based on Mahalanobis Distances
inferredcites →https://doi.org/10.1007/978-3-642-51175-2_44openalex-snapshot
Proximity Coefficients between Boolean symbolic objects
inferredcites →https://doi.org/10.1007/978-3-642-55721-7openalex-snapshot
Exploratory Data Analysis in Empirical Research
inferredcites →https://doi.org/10.1007/978-3-642-55721-7_2openalex-snapshot
Symbolic Clustering of Constrained Probabilistic Data
inferredcites →https://doi.org/10.1007/978-3-642-56181-8_31openalex-snapshot
Symbolic Regression Analysis
inferredcites →https://doi.org/10.1007/978-3-642-56181-8_47openalex-snapshot
Multi-layer Perceptron on Interval Data
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Regression Analysis for Interval-Valued Data
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Symbolic Clustering Of Probabilistic Data
inferredcites →https://doi.org/10.1007/978-3-642-72253-0_59openalex-snapshot
Interpretation and Reduction of Galois Lattices of Complex Data
inferredcites →https://doi.org/10.1007/978-3-7908-2084-3_7openalex-snapshot
Comparing Histogram Data Using a Mahalanobis–Wasserstein Distance
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Ordinary Least Squares for Histogram Data Based on Wasserstein Distance
inferredcites →https://doi.org/10.1007/bf02030862openalex-snapshot
Probabilist, possibilist and belief objects for knowledge analysis
inferredcites →https://doi.org/10.1007/bf02030863openalex-snapshot
Symbolic objects: order structure and pyramidal clustering
inferredcites →https://doi.org/10.1007/s00180-006-0260-0openalex-snapshot
New clustering methods for interval data
inferredcites →https://doi.org/10.1007/s00180-006-0261-zopenalex-snapshot
Dynamic clustering for interval data based on L 2 distance
inferredcites →https://doi.org/10.1007/s00180-006-0264-9openalex-snapshot
Linear discriminant analysis for interval data
inferredcites →https://doi.org/10.1007/s10260-006-0024-6openalex-snapshot
Principal components of sample estimates: an approach through symbolic data analysis
inferredcites →https://doi.org/10.1007/s11424-008-9135-5openalex-snapshot
Interval Time Series Analysis with an Application to the Sterling-Dollar Exchange Rate
inferredcites →https://doi.org/10.1007/s11634-012-0108-0openalex-snapshot
Adaptation of interval PCA to symbolic histogram variables
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Properties of measures of information in evidence and possibility theories
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Discriminant analysis of interval data using Monte Carlo method in assessment of overlap
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A weighted fuzzy c-means clustering model for fuzzy data
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A comparison of three methods for principal component analysis of fuzzy interval data
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DIVCLUS-T: A monothetic divisive hierarchical clustering method
inferredcites →https://doi.org/10.1016/j.csda.2007.04.014openalex-snapshot
Centre and Range method for fitting a linear regression model to symbolic interval data
inferredcites →https://doi.org/10.1016/j.csda.2009.08.010openalex-snapshot
Constrained linear regression models for symbolic interval-valued variables
inferredcites →https://doi.org/10.1016/j.enpol.2009.10.007openalex-snapshot
Electric power demand forecasting using interval time series: A comparison between VAR and iMLP
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Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances
inferredcites →https://doi.org/10.1016/j.fss.2012.04.006openalex-snapshot
Self-organizing map for symbolic data
inferredcites →https://doi.org/10.1016/j.ijforecast.2008.07.003openalex-snapshot
Forecasting histogram time series with k-nearest neighbours methods
inferredcites →https://doi.org/10.1016/j.ijforecast.2008.11.006openalex-snapshot
Measuring consensus in binary forecasts: NFL game predictions
inferredcites →https://doi.org/10.1016/j.ijforecast.2011.02.007openalex-snapshot
Time series modeling of histogram-valued data: The daily histogram time series of S&P500 intradaily returns
inferredcites →https://doi.org/10.1016/j.jspi.2010.11.016openalex-snapshot
Likelihood functions and some maximum likelihood estimators for symbolic data
inferredcites →https://doi.org/10.1016/j.neucom.2008.02.022openalex-snapshot
Forecasting models for interval-valued time series
inferredcites →https://doi.org/10.1016/j.patcog.2008.11.016openalex-snapshot
Partitional clustering algorithms for symbolic interval data based on single adaptive distances
inferredcites →https://doi.org/10.1016/j.patrec.2003.10.016openalex-snapshot
Clustering of interval data based on city–block distances
inferredcites →https://doi.org/10.1016/j.patrec.2005.08.014openalex-snapshot
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
inferredcites →https://doi.org/10.1016/j.patrec.2006.08.014openalex-snapshot
Fuzzy c-means clustering methods for symbolic interval data
inferredcites →https://doi.org/10.1016/j.patrec.2009.11.007openalex-snapshot
Unsupervised pattern recognition models for mixed feature-type symbolic data
inferredcites →https://doi.org/10.1016/s0165-0114(03)00072-1openalex-snapshot
Fuzzy clustering algorithms for mixed feature variables
inferredcites →https://doi.org/10.1016/s0165-0114(99)80005-0openalex-snapshot
Properties of measures of information in evidence and possibility theories
inferredcites →https://doi.org/10.1016/s0167-8655(00)00040-4openalex-snapshot
Growing a tree classifier with imprecise data
inferredcites →https://doi.org/10.1016/s0167-8655(98)00087-7openalex-snapshot
A monothetic clustering method
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Towards a unified theory of imprecise probability
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Dynamic clustering of interval data based on adaptive Chebyshev distances
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Introduction à l'approche symbolique en analyse des données
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Bivariate symbolic regression models for interval-valued variables
inferredcites →https://doi.org/10.1080/02664763.2011.575125openalex-snapshot
Modelling interval data with Normal and Skew-Normal distributions
inferredcites →https://doi.org/10.1080/03081079008935085openalex-snapshot
DISCRIMINANT ANALYSIS OF MULTI-DIMENSIONAL INTERVAL DATA AND ITS APPLICATION TO CHEMICAL SENSING
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Modeling Interval Time Series with Space–Time Processes
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Handling uncertainty in neural networks: an interval approach
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Self-organizing map based on hausdorff distance for interval-valued data
inferredcites →https://doi.org/10.1109/ictai.2011.92openalex-snapshot
Adaptive Batch SOM for Multiple Dissimilarity Data Tables
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A batch self-organizing maps algorithm based on adaptive distances
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Self-organizing map based on L2 distance for interval-valued data
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On interval weighted three-layer neural networks
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On Choosing and Bounding Probability Metrics
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From the Statistics of Data to the Statistics of Knowledge
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Handbook of Empirical Economics and Finance
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Comparing Dissimilarity Measures For Probabilistic Symbolic Objects
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Probabilistic clustering of interval data
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An introduction to symbolic data analysis and the SODAS software
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Classification of symbolic objects: A lazy learning approach
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Structuring probabilistic data by Galois lattices
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Distribution and Symmetric Distribution Regression Model for Histogram-Valued Variables
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DIVISIVE MONOTHETIC CLUSTERING FOR INTERVAL AND HISTOGRAM-VALUED DATA
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Data Analysis – Basic Overview
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Clustering and Generalized ANOVA for Symbolic Data Constructed from Open Data
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A Dynamic Fuzzy Modeling Method for Interval Time Series and Applications in Range‐Based Volatility Prediction
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PCA Dimensionality Reduction for Categorical Data
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A New Representation of Interval Symbolic Data and Its Application in Dynamic Clustering
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Spatial prediction and spatial dependence monitoring on georeferenced data streams
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Symbolic interval-valued data analysis for time series based on auto-interval-regressive models
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Community detection in interval-weighted networks
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Outlier detection in interval data
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Association measures for interval variables
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Monitoring photochemical pollutants based on symbolic interval-valued data analysis
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Parametric models for distributional data
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Interval Fuzzy c-Regression Models with Competitive Agglomeration for Symbolic Interval-Valued Data
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Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm
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