-
2
-
-
58149395119
-
-
Heidelberg: Springer
-
Formal Concept Analysis: Foundations and Applications, Ganter, B., Stumme, G., and Wille, R., Eds., Heidelberg: Springer, 2005.
-
(2005)
Formal Concept Analysis: Foundations and Applications
-
-
Ganter, B.1
Stumme, G.2
Wille, R.3
-
3
-
-
0033096890
-
Efficient mining of association rules using closed item set lattices
-
Pasquier, N., Bastide, Y., Taouil, R., and Lakhal, L., Efficient Mining of Association Rules Using Closed Item Set Lattices, Inf. Syst., 1999, no. 24 (1), pp. 25- 46.
-
(1999)
Inf. Syst.
, vol.24
, Issue.1
, pp. 25-46
-
-
Pasquier, N.1
Bastide, Y.2
Taouil, R.3
Lakhal, L.4
-
4
-
-
25144439604
-
-
Boston: Addison-Wesley, Chapter 6
-
Tan, P.-N., Steinbach, M., and, Kumar, V., Introduction to Data Mining, Boston: Addison-Wesley, 2006, Chapter 6.
-
(2006)
Introduction to Data Mining
-
-
Tan, P.-N.1
Steinbach, M.2
Kumar, V.3
-
5
-
-
34249653461
-
Discovering significant patterns
-
Webb, G.I., Discovering Significant Patterns, Mach. Learn., 2007, no. 68 (1), pp. 1-33.
-
(2007)
Mach. Learn.
, vol.68
, Issue.1
, pp. 1-33
-
-
Webb, G.I.1
-
6
-
-
77951710728
-
Association rules (chapter 2)
-
Nong Ye, Ed., Mahwah, N.J.: Lawrence Earlbaum Associates
-
Webb, G.I., Association Rules (Chapter 2) in The Handbook of Data Mining, Nong Ye, Ed., Mahwah, N.J.: Lawrence Earlbaum Associates, 2003.
-
(2003)
The Handbook of Data Mining
-
-
Webb, G.I.1
-
7
-
-
4544375380
-
Probability logic modeling of knowledge discovery in databases
-
Springer
-
Deogun, J., Jiang, L., Xie, Y., and Raghavan, V., Probability Logic Modeling of Knowledge Discovery in Databases, Proc. ISMIS'2003, Springer, 2003, pp. 402-407.
-
(2003)
Proc. ISMIS'2003
, pp. 402-407
-
-
Deogun, J.1
Jiang, L.2
Xie, Y.3
Raghavan, V.4
-
8
-
-
0025535649
-
An analysis of first-order logic of probability
-
Halpern, J.Y., An Analysis of First-Order Logic of Probability, Artif. Intell., 1990, no. 46, pp. 311-350.
-
(1990)
Artif. Intell.
, Issue.46
, pp. 311-350
-
-
Halpern, J.Y.1
-
9
-
-
0036555973
-
Comparing performance of algorithms for generating concept lattices
-
Kuznetsov, S. and Obiedkov, S., Comparing Performance of Algorithms for Generating Concept Lattices, J. Exp. Theor. Artif. Intell., 2002, no. 14 (2-3), pp. 189-216.
-
(2002)
J. Exp. Theor. Artif. Intell.
, vol.14
, Issue.2-3
, pp. 189-216
-
-
Kuznetsov, S.1
Obiedkov, S.2
-
10
-
-
9444286421
-
AddIntent: A new incremental algorithm for constructing concept lattices
-
Springer
-
Merwe, D., Obiedkov, S., and Kourie, D., AddIntent: A New Incremental Algorithm for Constructing Concept Lattices, Proc. ICFCA'2004, Springer, 2004, pp. 372-385.
-
(2004)
Proc. ICFCA'2004
, pp. 372-385
-
-
Merwe, D.1
Obiedkov, S.2
Kourie, D.3
-
11
-
-
0002819235
-
Families minimales d'implications informatives resultant d'un tableau de données binaries
-
Guigues, J.-L. and Duquenne, V., Families minimales d'implications informatives resultant d'un tableau de données binaries, Math. Sci. Hum., 1986, no. 95, pp. 5-18.
-
(1986)
Math. Sci. Hum.
, Issue.95
, pp. 5-18
-
-
Guigues, J.-L.1
Duquenne, V.2
-
12
-
-
84862109942
-
Synthesis of logic, probability, and training: Formalization of prediction
-
Smerdov, S.O. and Vityaev, E.E., Synthesis of Logic, Probability, and Training: Formalization of Prediction, Sib. Elektron. Mat. Izv., 2009, no. 6, pp. 340-365.
-
(2009)
Sib. Elektron. Mat. Izv.
, Issue.6
, pp. 340-365
-
-
Smerdov, S.O.1
Vityaev, E.E.2
-
15
-
-
24044537263
-
Empirical theories discovery based on the measurement theory
-
Vityaev, E. and Kovalerchuk, B., Empirical Theories Discovery Based on the Measurement Theory, Mind Mach., 2005, no. 14 (4), pp. 551-573.
-
(2005)
Mind Mach.
, vol.14
, Issue.4
, pp. 551-573
-
-
Vityaev, E.1
Kovalerchuk, B.2
-
19
-
-
23844496680
-
On the intractability of computing the duquenne-guigues base
-
Kuznetsov, S., On the Intractability of Computing the Duquenne-Guigues Base, J. Univ. Comput. Sci., 2004, no. 10 (8), pp. 927-933.
-
(2004)
J. Univ. Comput. Sci.
, vol.10
, Issue.8
, pp. 927-933
-
-
Kuznetsov, S.1
-
20
-
-
55849123272
-
Transcription factor binding site recognition by regularity matrices based on the natural classification method
-
Vityaev, E. and Kolchanov, N., Eds.
-
Vityaev, E., Lapardin, K., Khomicheva, I., and Proskura, A., Transcription Factor Binding Site Recognition by Regularity Matrices Based on the Natural Classification Method, Intell. Data Anal. Special Issue New Methods in Bioinformatics, Vityaev, E. and Kolchanov, N., Eds., 2008, no. 12 (5), pp. 495-512.
-
(2008)
Intell. Data Anal. Special Issue New Methods in Bioinformatics
, vol.12
, Issue.5
, pp. 495-512
-
-
Vityaev, E.1
Lapardin, K.2
Khomicheva, I.3
Proskura, A.4
|