Far beyond the classical data models: symbolic data analysis
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[1] R.M.C.R. de Souza,et al. Dynamic clustering of interval data based on adaptive Chebyshev distances , 2004 .
[2] Etienne Cuvelier. QAMML: Probability Distributions For Functional Data , 2009 .
[3] Yves Lechevallier,et al. New clustering methods for interval data , 2006, Comput. Stat..
[4] Antonio Irpino,et al. A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data , 2006, Data Science and Classification.
[5] Monique Noirhomme-Fraiture,et al. Parametric Families of Probability Distributions for Functional Data Using Quasi-Arithmetic Means with Archimedean Generators , 2008 .
[6] Antonio Irpino,et al. Generalized Canonical Analysis , 2008 .
[7] Jean-Paul Rasson,et al. Unsupervised Divisive Classification , 2008 .
[8] S. J. Simoff. Handling uncertainty in neural networks: an interval approach , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).
[9] Hans-Hermann Bock,et al. Dynamic clustering for interval data based on L2 distance , 2006, Comput. Stat..
[10] Fabrice Rossi,et al. Multi-layer Perceptron on Interval Data ? , 2002 .
[11] Carlos Maté,et al. Electric power demand forecasting using interval time series: A comparison between VAR and iMLP , 2010 .
[12] Paolo Giordani,et al. A comparison of three methods for principal component analysis of fuzzy interval data , 2006, Comput. Stat. Data Anal..
[13] Jean-Paul Rasson,et al. Symbolic Kernel Discriminant Analysis , 2000 .
[14] Edwin Diday. Introduction à l'approche symbolique en analyse des données , 1989 .
[15] Paula Brito,et al. Symbolic Clustering of Constrained Probabilistic Data , 2003 .
[16] Francisco de A. T. de Carvalho,et al. Fuzzy c-means clustering methods for symbolic interval data , 2007, Pattern Recognit. Lett..
[17] E. Diday,et al. Extension de l'analyse en composantes principales à des données de type intervalle , 1997 .
[18] Paula Brito. Use of Pyramids in Symbolic Data Analysis , 1994 .
[19] Donato Malerba,et al. Dissimilarity and Matching , 2008 .
[20] Marie Chavent,et al. A monothetic clustering method , 1998, Pattern Recognit. Lett..
[21] Monique Noirhomme-Fraiture,et al. Symbolic Data Analysis and the SODAS Software , 2008 .
[22] Javier Arroyo,et al. Forecasting with Interval and Histogram Data. Some Financial Applications , 2011 .
[23] P. Brito,et al. Modelling interval data with Normal and Skew-Normal distributions , 2012 .
[24] Francisco de A. T. de Carvalho,et al. Proximity Coefficients between Boolean symbolic objects , 1994 .
[25] Edwin Diday,et al. Generalization of the Principal Components Analysis to Histogram Data , 2000 .
[26] Thanh-Nghi Do,et al. Kernel Methods and Visualization for Interval Data Mining , 2005 .
[27] F. Plastria,et al. Classification problems with imprecise data through separating hyperplanes , 2007 .
[28] Hans-Hermann Bock,et al. Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data , 2000 .
[29] Francisco de A. T. de Carvalho,et al. Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances , 2010, Fuzzy Sets Syst..
[30] André Hardy,et al. Une nouvelle méthode de classification pour des données intervalles , 2009 .
[31] Francisco de A. T. de Carvalho,et al. Centre and Range method for fitting a linear regression model to symbolic interval data , 2008, Comput. Stat. Data Anal..
[32] Otto Opitz,et al. Exploratory Data Analysis in Empirical Research , 2002 .
[33] Chenyi Hu,et al. On interval weighted three-layer neural networks , 1998, Proceedings 31st Annual Simulation Symposium.
[34] Antonio Irpino,et al. Factor Discriminant Analysis , 2008 .
[35] Yves Lechevallier,et al. Partitional clustering algorithms for symbolic interval data based on single adaptive distances , 2009, Pattern Recognit..
[36] R. Vignes. Caracterisation automatique de groupes biologiques , 1991 .
[37] Bernhard Ganter,et al. Formal Concept Analysis: Mathematical Foundations , 1998 .
[38] André Hardy,et al. Clustering and Validation of Interval Data , 2007 .
[39] Mathieu Vrac,et al. Mixture decomposition of distributions by copulas in the symbolic data analysis framework , 2005, Discret. Appl. Math..
[40] L. Billard,et al. Regression Analysis for Interval-Valued Data , 2000 .
[41] Jirí Síma,et al. Neural expert systems , 1995, Neural Networks.
[42] Francisco de A. T. de Carvalho,et al. Clustering of interval data based on city-block distances , 2004, Pattern Recognit. Lett..
[43] Edwin Diday,et al. Symbolic Data Analysis: A Mathematical Framework and Tool for Data Mining , 1999, Electron. Notes Discret. Math..
[44] Hans-Hermann Bock,et al. Visualizing Symbolic Data by Kohonen Maps , 2008 .
[45] Paula Brito. Symbolic objects: order structure and pyramidal clustering , 1995, Ann. Oper. Res..
[46] Yves Lechevallier,et al. Clustering constrained symbolic data , 2009, Pattern Recognit. Lett..
[47] Rudolf Wille,et al. Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts , 2009, ICFCA.
[48] Francisco de A. T. de Carvalho,et al. Unsupervised pattern recognition models for mixed feature-type symbolic data , 2010, Pattern Recognit. Lett..
[49] Francisco de A. T. de Carvalho,et al. Constrained linear regression models for symbolic interval-valued variables , 2010, Comput. Stat. Data Anal..
[50] L. Billard,et al. Likelihood functions and some maximum likelihood estimators for symbolic data , 2008 .
[51] Javier Arroyo Gallardo,et al. Forecasting histogram time series with k-nearest neighbours methods , 2009 .
[52] Peter Walley,et al. Towards a unified theory of imprecise probability , 2000, Int. J. Approx. Reason..
[53] Edwin Diday,et al. An introduction to symbolic data analysis and the SODAS software , 2003, Intell. Data Anal..
[54] Francisco de A. T. de Carvalho,et al. Hierarchical and Pyramidal Clustering , 2008 .
[55] Francesco Palumbo,et al. Principal Component Analysis for Non-Precise Data , 2005 .
[56] Monique Noirhomme-Fraiture,et al. Asymptotic Behaviour in Symbolic Markov Chains , 2010 .
[57] P. Bertrand,et al. Descriptive Statistics for Symbolic Data , 2000 .
[58] Yves Lechevallier,et al. Adaptative Hausdorff Distances and Dynamic Clustering of Symbolic Interval Data , 2017 .
[59] Francisco de A. T. de Carvalho,et al. Forecasting models for interval-valued time series , 2008, Neurocomputing.
[60] L. Billard,et al. Symbolic Regression Analysis , 2002 .
[61] Hans-Hermann Bock,et al. Probabilistic Modeling for Symbolic Data , 2008 .
[62] Francisco de A. T. de Carvalho,et al. Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances , 2004, IBERAMIA.
[63] Paula Brito,et al. On the Analysis of Symbolic Data , 2007 .
[64] Herman Stekler,et al. Measuring consensus in binary forecasts: NFL game predictions , 2009 .
[65] D. Dubois,et al. Properties of measures of information in evidence and possibility theories , 1987 .
[66] Edwin Diday,et al. Analyse de données symboliques et graphe de connaissances d'un agent , 2005, EGC.
[67] Edwin Diday,et al. Growing a tree classifier with imprecise data , 2000, Pattern Recognit. Lett..
[68] G. Polaillon. Interpretation and Reduction of Galois Lattices of Complex Data , 1998 .
[69] L. Billard,et al. From the Statistics of Data to the Statistics of Knowledge , 2003 .
[70] Géraldine Polaillon. Organisation et interprétation par les treillis de Galois de données de type multivalué, intervalle ou histogramme , 1998 .
[71] Javier Arroyo,et al. Time series modeling of histogram-valued data: The daily histogram time series of S&P500 intradaily returns , 2012 .
[72] P. Brito,et al. Structuring probabilistic data by Galois lattices , 2005 .
[73] Lynne Billard,et al. Dependencies and Variation Components of Symbolic Interval-Valued Data , 2007 .
[74] Vincent Duquenne,et al. Familles minimales d'implications informatives résultant d'un tableau de données binaires , 1986 .
[75] Edwin Diday,et al. Descriptive statistics for interval-valued observations in the presence of rules , 2006, Comput. Stat..
[76] Hans-Hermann Bock,et al. Analysis of Symbolic Data , 2000 .
[77] Emilio Brito. HEGEL ET LE SAINT-ESPRIT , 2010 .
[78] Claus Weihs,et al. Classification as a Tool for Research , 2010 .
[79] Paula Brito,et al. Linear discriminant analysis for interval data , 2006, Comput. Stat..
[80] Paula Brito. Symbolic Clustering Of Probabilistic Data , 1998 .
[81] Lynne Billard. Brief overview of symbolic data and analytic issues , 2011, Stat. Anal. Data Min..
[82] Marc Csernel,et al. Usual operations with symbolic data under normal symbolic form , 1999 .
[83] Javier Arroyo Gallardo. Métodos de predicción para series temporales de intervalos e histogramas , 2008 .
[84] Marie Chavent,et al. Normalized k-means clustering of hyper-rectangles , 2005 .
[85] Lynne Billard. Dependencies in Bivariate Interval-Valued Symbolic Data , 2004 .
[86] Kin Keung Lai,et al. Interval Time Series Analysis with an Application to the Sterling-Dollar Exchange Rate , 2008, J. Syst. Sci. Complex..
[87] Edwin Diday,et al. Symbolic Data Analysis: Conceptual Statistics and Data Mining (Wiley Series in Computational Statistics) , 2007 .
[88] G. Choquet. Theory of capacities , 1954 .
[89] Francisco de A. T. de Carvalho,et al. Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances , 2004, ICONIP.