-
1
-
-
0000064536
-
Visual classification: An interactive approach to decision tree construction
-
M. Ankerst, C. Elsen, M. Ester and H.-P. Kriegel, Visual Classification: An Interactive Approach to Decision Tree Construction, Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data mining, 1999, pp. 392-396.
-
(1999)
Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 392-396
-
-
Ankerst, M.1
Elsen, C.2
Ester, M.3
Kriegel, H.-P.4
-
2
-
-
0034592922
-
Towards an effective cooperation of the user and the computer for classification
-
Boston, MA
-
M. Ankerst, M. Ester and H.-P. Kriegel, Towards an Effective Cooperation of the User and the Computer for Classification, Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data mining, Boston, MA, 2000.
-
(2000)
Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
-
Ankerst, M.1
Ester, M.2
Kriegel, H.-P.3
-
5
-
-
0000580934
-
Visualizing class structure of multidimensional data
-
Interface Foundation of North America, Minneapolis, MN
-
I. S. Dhillon, D. S. Modha and W. S. Spangler, Visualizing Class Structure of Multidimensional Data, Proceedings of the 30th Symposium on the Interface: Computing Science and Statistics, Interface Foundation of North America, Minneapolis, MN, 1998, pp. 488-493.
-
(1998)
Proceedings of the 30th Symposium on the Interface: Computing Science and Statistics
, pp. 488-493
-
-
Dhillon, I.S.1
Modha, D.S.2
Spangler, W.S.3
-
6
-
-
22844456607
-
The role of occam's razor in knowledge discovery
-
P. DOMINGOS, The Role of Occam's Razor in Knowledge Discovery, Data Mining and Knowledge Discovery, 3 (1999), pp. 409-425.
-
(1999)
Data Mining and Knowledge Discovery
, vol.3
, pp. 409-425
-
-
Domingos, P.1
-
7
-
-
0030285403
-
The KDD process for extracting useful knowledge from volumes of data
-
U. Fayyad, G. P. Shapiro and P. Smyth, The KDD Process for Extracting Useful Knowledge from Volumes of Data, Communications of the ACM, 39 (1996), pp. 27-34.
-
(1996)
Communications of the ACM
, vol.39
, pp. 27-34
-
-
Fayyad, U.1
Shapiro, G.P.2
Smyth, P.3
-
8
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
R. A. Fisher, The Use of Multiple Measurements in Taxonomic Problems, Annals of Eugenics, 7 (1936), pp. 179-188.
-
(1936)
Annals of Eugenics
, vol.7
, pp. 179-188
-
-
Fisher, R.A.1
-
9
-
-
0032650246
-
Constraint-based multidimensional data mining
-
J. Han, L. V. S. Lakshmanan and R. T. Ng, Constraint-Based Multidimensional Data Mining, IEEE Computer, 32 (1999), pp. 46-50.
-
(1999)
IEEE Computer
, vol.32
, pp. 46-50
-
-
Han, J.1
Lakshmanan, L.V.S.2
Ng, R.T.3
-
10
-
-
0002185915
-
Induction of oblique decision tree
-
Morgan Kaufmann, San Mateo, CA
-
D. Heath, S. Kasif and S. Salzberg, Induction of Oblique Decision Tree, Proceedings of the 13rd International Joint Conference on Artificial Intelligence, Morgan Kaufmann, San Mateo, CA, 1993, pp. 1002-1007.
-
(1993)
Proceedings of the 13rd International Joint Conference on Artificial Intelligence
, pp. 1002-1007
-
-
Heath, D.1
Kasif, S.2
Salzberg, S.3
-
12
-
-
0035788895
-
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates
-
San Francisco, California
-
E. Kandogan, Visualizing Multi-dimensional Clusters, Trends, and Outliers Using Star Coordinates, Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data mining, San Francisco, California, 2001, pp. 107-116.
-
(2001)
Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 107-116
-
-
Kandogan, E.1
-
16
-
-
33744584654
-
Induction of decision trees
-
J. R. Quinlan, Induction of decision trees, Machine Learning, 1 (1986), pp. 81-106.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
|