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ORCIDEdwin Diday
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- affiliation: Paris Dauphine University, Paris, France
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Journal Articles
- 2018
[j29]Dominique Desbois, Edwin Diday:
Éditorial : l'analyse des données symboliques aujourd'hui. Monde des Util. Anal. Données 45: 1-2 (2018)- [j28]Edwin Diday:
Pouvoir explicatif et discriminant de variables et de tableaux de données symboliques. Monde des Util. Anal. Données 45: 3-18 (2018) - [j27]Cheng Wang, Huiwen Wang, Siyang Wang, Edwin Diday, Richard Emilion:
Sampling Based Histogram PCA and Its Mapreduce Parallel Implementation on Multicore. Symmetry 10(5): 162 (2018) - 2016
- [j26]Magalie Ochs, Edwin Diday, Filipe Afonso:
From the Symbolic Analysis of Virtual Faces to a Smiles Machine. IEEE Trans. Cybern. 46(2): 401-409 (2016) - 2015
- [j25]Christiane Guinot, Denis Malvy, Jean-François Schémann, Filipe Afonso, Raja Haddad
, Edwin Diday:
Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma. Adv. Data Anal. Classif. 9(1): 107-119 (2015) - 2013
- [j24]Edwin Diday:
Principal component analysis for bar charts and metabins tables. Stat. Anal. Data Min. 6(5): 403-430 (2013) - 2012
- [j23]Sun Makosso-Kallyth, Edwin Diday:
Adaptation of interval PCA to symbolic histogram variables. Adv. Data Anal. Classif. 6(2): 147-159 (2012) - [j22]Mathieu Vrac, Lynne Billard, Edwin Diday, Alain Chédin:
Copula analysis of mixture models. Comput. Stat. 27(3): 427-457 (2012) - 2011
- [j21]Ahlame Douzal Chouakria, Lynne Billard, Edwin Diday:
Principal component analysis for interval-valued observations. Stat. Anal. Data Min. 4(2): 229-246 (2011) - 2008
- [j20]Edwin Diday:
Spatial classification. Discret. Appl. Math. 156(8): 1271-1294 (2008) - [j19]Edwin Diday:
Comment extraire des connaissances à partir des concepts de vos bases de données ? Les deux étapes de l'analyse des données symboliques. Monde des Util. Anal. Données 38: 93-139 (2008) - 2006
- [j18]Patrick J. F. Groenen, Suzanne Winsberg, O. Rodríguez, Edwin Diday:
I-Scal: Multidimensional scaling of interval dissimilarities. Comput. Stat. Data Anal. 51(1): 360-378 (2006) - [j17]Lynne Billard, Edwin Diday:
Descriptive statistics for interval-valued observations in the presence of rules. Comput. Stat. 21(2): 187-210 (2006) - [j16]Chérif Mballo, Edwin Diday:
The criterion of Kolmogorov-Smirnov for binary decision tree: Application to interval valued variables. Intell. Data Anal. 10(4): 325-341 (2006) - 2005
- [j15]Edwin Diday, Mathieu Vrac:
Mixture decomposition of distributions by copulas in the symbolic data analysis framework. Discret. Appl. Math. 147(1): 27-41 (2005) - 2003
- [j14]Edwin Diday, Richard Emilion:
Maximal and Stochastic Galois Lattices. Discret. Appl. Math. 127(2): 271-284 (2003) - [j13]Edwin Diday, Floriana Esposito:
An introduction to symbolic data analysis and the SODAS software. Intell. Data Anal. 7(6): 583-601 (2003) - 2000
- [j12]A. Ciampi, Edwin Diday, J. Lebbe, E. Périnel, R. Vignes:
Growing a tree classifier with imprecise data. Pattern Recognit. Lett. 21(9): 787-803 (2000) - 1999
- [j11]Edwin Diday:
Galois lattices and some symbolic data analysis algorithms. Electron. Notes Discret. Math. 2: 147-148 (1999) - [j10]Edwin Diday:
Symbolic Data Analysis: A Mathematical Framework and Tool for Data Mining. Electron. Notes Discret. Math. 2: 189-198 (1999) - 1995
- [j9]Edwin Diday:
Probabilist, possibilist and belief objects for knowledge analysis. Ann. Oper. Res. 55(2): 225-276 (1995) - [j8]P. Nagabhushan, K. Chidananda Gowda, Edwin Diday:
Dimensionality reduction of symbolic data. Pattern Recognit. Lett. 16(2): 219-223 (1995) - 1992
- [j7]K. Chidananda Gowda, Edwin Diday:
Symbolic clustering using a new similarity measure. IEEE Trans. Syst. Man Cybern. 22(2): 368-378 (1992) - 1991
- [j6]K. Chidananda Gowda, Edwin Diday:
Symbolic clustering using a new dissimilarity measure. Pattern Recognit. 24(6): 567-578 (1991) - [j5]K. Chidananda Gowda, Edwin Diday:
Unsupervised learning through symbolic clustering. Pattern Recognit. Lett. 12(5): 259-264 (1991) - 1988
- [j4]Tu Bao Ho, Edwin Diday, Mireille Gettler-Summa:
Generating rules for expert systems from observations. Pattern Recognit. Lett. 7(5): 265-271 (1988) - 1984
- [j3]Edwin Diday, Jean-Vincent Moreau:
Learning hierarchical clustering from examples - application to the adaptive construction of dissimilarity indices. Pattern Recognit. Lett. 2(6): 365-378 (1984) - 1974
- [j2]Edwin Diday:
Optimization in non-hierarchical clustering. Pattern Recognit. 6(1): 17-33 (1974) - 1973
- [j1]Edwin Diday:
The dynamic clusters method in nonhierarchical clustering. Int. J. Parallel Program. 2(1): 61-88 (1973)
Conference and Workshop Papers
- 2018
- [c26]Edwin Diday:
Improving Explanatory Power of Machine Learning in the Symbolic Data Analysis Framework. IWAIPR 2018: 3-14 - 2015
- [c25]Magalie Ochs, Edwin Diday, Filipe Afonso:
Analyse symbolique de sourires de personnages virtuels. Symbolic Data Analysis and Visualization 2015: 101-118 - 2011
- [c24]Edwin Diday, Filipe Afonso, Raja Haddad:
The symbolic data analysis paradigm, discriminant discretization and financial application. HDSDA 2011: 1-14 - 2010
- [c23]Edwin Diday:
Extracting Knowledge from Complex Data by Symbolic Data Analysis. KDIR 2010: 05-06 - 2009
- [c22]Flavien Balbo, Julien Saunier, Edwin Diday, Suzanne Pinson:
De l'utilisation de l'analyse de données symboliques dans les systèmes multi-agents. EGC 2009: 139-150 - [c21]Omar Merroun, Edwin Diday, Philippe Rigaux:
Vers le traitement à grande échelle de données symboliques. EGC 2009: 435-436 - [c20]Filipe Afonso, Edwin Diday, Wassim Khaskhoussi:
Le logiciel SYR pour l'analyse de données symboliques. EGC 2009: 501 - 2008
- [c19]Edwin Diday:
Principes d'Analyse des données symboliques et application à la détection d'anomalies sur des ouvrages publics. EGC 2008: 211-212 - [c18]Myriam Touati, Mohamed Cherif Rahal, Filipe Afonso, Edwin Diday:
Le logiciel SODAS : avancées récentes Un outil permettant d'analyser et de visualiser des données symboliques. EGC 2008: 239-240 - 2006
- [c17]Chérif Mballo, Edwin Diday:
Affectation pondérée sur des données de type intervalle. EGC 2006: 377-382 - 2005
- [c16]Chérif Mballo, Edwin Diday:
Arbres de décision sur des données de type intervalle : évaluation et comparaison. EGC 2005: 67-78 - [c15]Kutluhan Kemal Pak, Mohamed Cherif Rahal, Edwin Diday:
Elagage et aide à l'interprétation symbolique et graphique d'une pyramide. EGC 2005: 135-146 - [c14]Filipe Afonso, Edwin Diday:
Extension de l'algorithme Apriori et des règles d'association aux cas des données symboliques diagrammes et intervalles. EGC 2005: 483-494 - [c13]Philippe Caillou, Edwin Diday:
Analyse de données symboliques et graphe de connaissances d'un agent. EGC 2005: 643-648 - [c12]Edwin Diday:
De la statistique des données à la statistique des connaissances : avancées récentes en Analyse des Données Symboliques. EGC 2005: 703 - 2004
- [c11]Filipe Afonso, Lynne Billard, Edwin Diday:
Régression linéaire symbolique avec variables taxonomiques. EGC 2004: 205-210 - 2002
- [c10]Mathieu Vrac, Alain Chédin, Edwin Diday:
Mélange de lois de lois par copules. EGC 2002: 305-317 - 2001
- [c9]Mathieu Vrac, Edwin Diday:
Description symbolique de classes. EGC 2001: 105-116 - [c8]Myriam Touati, Françoise Goupil, Edwin Diday, Hector van der Veen:
Analyse symbolique de données bancaires - Application du logiciel d'analyse de données symboliques SODAS. EGC 2001: 161-167 - [c7]Philippe Caillou, Edwin Diday:
Modélisation des données boursières à l'aide de l'analyse de données symboliques. EGC 2001: 169-180 - 1993
- [c6]Edwin Diday:
From Data to Knowledge: Probabilist Objects for a Symbolic Data Analysis. Partitioning Data Sets 1993: 65-88 - [c5]Edwin Diday, Paula Brito, E. Mfoumoune:
Learning Probabilistic Models by Conceptual Pyramidal Clustering. EPIA 1993: 362 - 1991
- [c4]Edwin Diday:
From Data Analysis to Uncertainty Knowledge Analysis. ECSQARU 1991: 153-160 - 1988
- [c3]Edwin Diday, Guy Cucumel:
Compatibility and consensus in numerical taxonomy. ICPR 1988: 1059-1061 - 1974
- [c2]Edwin Diday, A. Schroeder, Y. Ok:
The Dynamic Clusters Method in Pattern Recognition. IFIP Congress 1974: 691-697 - 1973
- [c1]Edwin Diday:
The Dynamic Clusters Method and Optimization in Non-Hierarchical Clustering. Optimization Techniques 1973: 241-258
Parts in Books or Collections
- 2005
- [p1]Edwin Diday, M. Limam, Suzanne Winsberg:
A Tree Structured Classifier for Symbolic Class Description. Data Analysis and Decision Support 2005: 21-29
Informal and Other Publications
- 2023
- [i1]Philippe Caillou, Edwin Diday:
Stock data analysis using sympbolic data analysis. CoRR abs/2302.12070 (2023)
Coauthor Index
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