-
1
-
-
0002021289
-
Des objets de l'analyse des données à ceux de l'analyse des connaissances
-
Kodratoff Y, Diday E, (eds). Cepadues edn: Toulouse
-
Diday E. Des objets de l'analyse des données à ceux de l'analyse des connaissances. In Induction symbolique et numérique à partir de données, Kodratoff Y, Diday E, (eds). Cepadues edn: Toulouse, 1991; 9-75.
-
(1991)
Induction Symbolique et Numérique à Partir de Données
, pp. 9-75
-
-
Diday, E.1
-
2
-
-
0343533116
-
Piramidal representation of symbolic objects
-
Schader M, Gaul W (eds). Springer: Berlin
-
Brito P, Diday E. Piramidal representation of symbolic objects. In: Knowledge, Data and Computer Assisted Decisions, Schader M, Gaul W (eds). Springer: Berlin, 1990; 3-16.
-
(1990)
Knowledge, Data and Computer Assisted Decisions
, pp. 3-16
-
-
Brito, P.1
Diday, E.2
-
5
-
-
0343968954
-
A fuzzy symbolic pattern classifier
-
Diday E. et al. (eds). Springer: Heidelberg
-
Ichino M, Yaguchi H, Diday E. A fuzzy symbolic pattern classifier. In Ordinal and Symbolic Data Analysis, Diday E. et al. (eds). Springer: Heidelberg, 1996; 92-102.
-
(1996)
Ordinal and Symbolic Data Analysis
, pp. 92-102
-
-
Ichino, M.1
Yaguchi, H.2
Diday, E.3
-
7
-
-
0043135897
-
The symbolic approach in clustering and related methods of data analysis: The basic choices
-
Bock HH (eds). Elsevier Science Publishers B.V: Amsterdam
-
Diday E. The symbolic approach in clustering and related methods of data analysis: the basic choices. In Classification and Related Methods of Data Analysis, Bock HH (eds). Elsevier Science Publishers B.V: Amsterdam, 1991; 673-684.
-
(1991)
Classification and Related Methods of Data Analysis
, pp. 673-684
-
-
Diday, E.1
-
8
-
-
0024176988
-
General metrics for mixed features - The cartesian space theory for pattern recognition
-
Ichino M. General metrics for mixed features - the cartesian space theory for pattern recognition. In International Conference on Systems, Man and Cybernetics, 1988.
-
(1988)
International Conference on Systems, Man and Cybernetics
-
-
Ichino, M.1
-
9
-
-
0343968946
-
Clustering of constrained symbolic objects based on dissimilarity functions
-
Diday E, Gowda KC (org). 23-25 September, Paris
-
De Carvalho FAT. Clustering of constrained symbolic objects based on dissimilarity functions. In Indo-French Seminar on Symbolic Data Analysis and its Applications, Diday E, Gowda KC (org). 23-25 September, Paris, 1997.
-
(1997)
Indo-French Seminar on Symbolic Data Analysis and its Applications
-
-
De Carvalho, F.A.T.1
-
10
-
-
0002554758
-
Further normalisation of the data base relational model
-
Prentice-Hall: Englewood Cliff, NJ
-
Codd EF. Further normalisation of the data base relational model. In Data Base System, Courant Computer Science Symposium Series, vol. 6. Prentice-Hall: Englewood Cliff, NJ. 1972.
-
(1972)
Data Base System, Courant Computer Science Symposium Series
, vol.6
-
-
Codd, E.F.1
-
12
-
-
0343968942
-
On the complexity of computation with symbolic objects using domain knowledge
-
Rizzi A, Vicchi M, Bock HH (eds). Springer: Berlin
-
Csernel M. On the complexity of computation with symbolic objects using domain knowledge. In Advances in Data Science and Classification, Rizzi A, Vicchi M, Bock HH (eds). Springer: Berlin, 1998; 403-408.
-
(1998)
Advances in Data Science and Classification
, pp. 403-408
-
-
Csernel, M.1
-
13
-
-
0041741247
-
Extension based proximities between constrained boolean symbolic objects
-
Hayashi C. et al. (eds). Springer: Tokyo
-
De Carvalho FAT. Extension based proximities between constrained boolean symbolic objects. In Data Science, Classification and Related Methods, Hayashi C. et al. (eds). Springer: Tokyo, 1998; 370-378.
-
(1998)
Data Science, Classification and Related Methods
, pp. 370-378
-
-
De Carvalho, F.A.T.1
-
14
-
-
0343097154
-
Statistical proximity functions of Boolean symbolic objects based on histograms
-
Rizzi A et al. (eds). Springer: Heidelberg, Germany
-
De Carvalho FAT, Souza RMC. Statistical proximity functions of Boolean symbolic objects based on histograms. In New Advances in Data Science and Classification, Rizzi A et al. (eds). Springer: Heidelberg, Germany, 1998; 391-396.
-
(1998)
New Advances in Data Science and Classification
, pp. 391-396
-
-
De Carvalho, F.A.T.1
Souza, R.M.C.2
-
15
-
-
0025902445
-
Symbolic clustering using a new dissimilarity measure
-
Gowda KC, Diday E. Symbolic clustering using a new dissimilarity measure. Pattern Recognition 1991; 24(6): 567-578.
-
(1991)
Pattern Recognition
, vol.24
, Issue.6
, pp. 567-578
-
-
Gowda, K.C.1
Diday, E.2
-
16
-
-
0029326165
-
Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity
-
Gowda KC, Ravi TV. Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity. Pattern Recognition Letters 1995; 16: 647-652.
-
(1995)
Pattern Recognition Letters
, vol.16
, pp. 647-652
-
-
Gowda, K.C.1
Ravi, T.V.2
-
17
-
-
0343533100
-
Non-symetrical factorial discriminant analysis for symbolic objects
-
Rocco Curto, Napoles, Italia
-
Palumbo F, Verde R. Non-symetrical factorial discriminant analysis for symbolic objects. In Proceedings of the International Conference on ASMDA 97 - Applied Stochastic Models and Data Analysis, Rocco Curto, Napoles, Italia, 1997; 283-290.
-
(1997)
Proceedings of the International Conference on ASMDA 97 - Applied Stochastic Models and Data Analysis
, pp. 283-290
-
-
Palumbo, F.1
Verde, R.2
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