-
1
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
Washington, DC, May 26-28
-
Agrawal, R., Imielínski, T., Swami, A.N.: Mining Association Rules between Sets of Items in Large Databases. In: Proc. of SIGMOD 1993, Washington, DC, May 26-28, pp. 207-216 (1993
-
(1993)
Proc. of SIGMOD 1993
, pp. 207-216
-
-
Agrawal, R.1
Imielínski, T.2
Swami, A.N.3
-
2
-
-
0001454571
-
Dependency structures of database relationships
-
Armstrong, W.W.: Dependency Structures of Database Relationships. Inform. Process. 74, 580-583 (1974
-
(1974)
Inform. Process
, vol.74
, pp. 580-583
-
-
Armstrong, W.W.1
-
3
-
-
0038404485
-
Rough set algorithms in classification problem
-
Studies in Fuzziness and Soft Computing. Physica Verlag
-
Bazan, J.G., Nguyen, H.S., Nguyen, S.H., Synak, P., Wŕoblewski, J.: Rough Set Algorithms in Classification Problem. In: Rough Set Methods and Applications. New Developments in Knowledge Discovery in Information Systems. Studies in Fuzziness and Soft Computing, vol.56, pp. 49-88. Physica Verlag (2000
-
(2000)
Rough Set Methods and Applications. New Developments in Knowledge Discovery in Information Systems
, vol.56
, pp. 49-88
-
-
Bazan, J.G.1
Nguyen, H.S.2
Nguyen, S.H.3
Synak, P.4
Wŕoblewski, J.5
-
4
-
-
70349802716
-
The multiple facets of the canonical direct unit implicational basis
-
to appear
-
Bertet, K., Monjardet, B.: The multiple facets of the canonical direct unit implicational basis. Theoretical Computer Science (2009) (to appear
-
(2009)
Theoretical Computer Science
-
-
Bertet, K.1
Monjardet, B.2
-
8
-
-
0003849948
-
-
Davis L. (ed.) Van Nostrand Reinhold
-
Davis, L. (ed.): Handbook of Genetic Algorithms. Van Nostrand Reinhold (1991
-
(1991)
Handbook of Genetic Algorithms
-
-
-
9
-
-
0032205549
-
Uncertainty measures of rough set prediction
-
Duentsch, I., Gediga, G.: Uncertainty Measures of Rough Set Prediction. Artif. Intell. 106(1), 109-137 (1998
-
(1998)
Artif. Intell
, vol.106
, Issue.1
, pp. 109-137
-
-
Duentsch, I.1
Gediga, G.2
-
13
-
-
33144473447
-
Interactive gene clustering - A case study of breast cancer microarray data
-
Gruÿzd́z, A., Ihnatowicz, A., Slezak, D.: Interactive Gene Clustering - A Case Study of Breast Cancer Microarray Data. Information Systems Frontiers 8(1), 21-27 (2006
-
(2006)
Information Systems Frontiers
, vol.8
, Issue.1
, pp. 21-27
-
-
Gruÿzd́z, A.1
Ihnatowicz, A.2
Slezak, D.3
-
15
-
-
0004077439
-
-
Kloesgen W. ÿ Zytkow J.M. (eds.) Oxford University Press, Oxford
-
Kloesgen, W., ÿ Zytkow, J.M. (eds.): Handbook of Data Mining and Knowledge Discovery. Oxford University Press, Oxford (2002
-
(2002)
Handbook of Data Mining and Knowledge Discovery
-
-
-
17
-
-
39149116851
-
-
Liu, H. Motoda, H. (eds.). Chapman & Hall, Boca Raton
-
Liu, H., Motoda, H. (eds.): Computational Methods of Feature Selection. Chapman & Hall, Boca Raton (2008
-
(2008)
Computational Methods of Feature Selection
-
-
-
18
-
-
33744937046
-
Machine learning for detecting gene-gene interactions: A review
-
McKinney, B.A., Reif, D.M., Ritchie, M.D., Moore, J.H.: Machine Learning for Detecting Gene-Gene Interactions: A Review. Applied Bioinformatics 5(2), 77-88 (2006
-
(2006)
Applied Bioinformatics
, vol.5
, Issue.2
, pp. 77-88
-
-
McKinney, B.A.1
Reif, D.M.2
Ritchie, M.D.3
Moore, J.H.4
-
19
-
-
33847708386
-
On Construction of Partial Reducts and Irreducible Partial Decision Rules
-
Moshkov, M., Piliszczuk, M., Zielosko, B.: On Construction of Partial Reducts and Irreducible Partial Decision Rules. Fundam. Inform. 75(1-4), 357-374 (2007
-
(2007)
Fundam. Inform
, vol.75
, Issue.1-4
, pp. 357-374
-
-
Moshkov, M.1
Piliszczuk, M.2
Zielosko, B.3
-
20
-
-
37349000869
-
Approximate boolean reasoning: Foundations and applications in data mining
-
Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets V. Springer, Heidelberg
-
Nguyen, H.S.: Approximate Boolean Reasoning: Foundations and Applications in Data Mining. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets V. LNCS, vol.4100, pp. 334-506. Springer, Heidelberg (2006
-
(2006)
LNCS
, vol.4100
, pp. 334-506
-
-
Nguyen, H.S.1
-
21
-
-
0039184106
-
Rough sets and association rule generation
-
Nguyen, H.S., Nguyen, S.H.: Rough Sets and Association Rule Generation. Fundamenta Informaticae 40(4), 310-318 (1999
-
(1999)
Fundamenta Informaticae
, vol.40
, Issue.4
, pp. 310-318
-
-
Nguyen, H.S.1
Nguyen, S.H.2
-
22
-
-
0019699783
-
Information systems theoretical foundations
-
Pawlak, Z.: Information systems theoretical foundations. Inf. Syst. 6(3), 205-218 (1981
-
(1981)
Inf. Syst.
, vol.6
, Issue.3
, pp. 205-218
-
-
Pawlak, Z.1
-
26
-
-
0002395767
-
The discernibility matrices and functions in information systems
-
Intelligent Decision Support. Kluwer, Dordrecht
-
Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory, pp. 311-362. Kluwer, Dordrecht (1992
-
(1992)
Handbook of Applications and Advances of the Rough Set Theory
, pp. 311-362
-
-
Skowron, A.1
Rauszer, C.2
-
27
-
-
0012606338
-
Approximate reducts in decision tables
-
Granada, Spain, July 1-5
-
Ślezak, D.: Approximate reducts in decision tables. In: Proc. of IPMU 1996, Granada, Spain, July 1-5, vol.3, pp. 1159-1164 (1996
-
(1996)
Proc. of IPMU 1996
, vol.3
, pp. 1159-1164
-
-
Ślezak, D.1
-
28
-
-
0038368682
-
Various approaches to reasoning with frequency based decision reducts
-
Rough Set Methods and Applications Studies in Fuzziness and Soft Computing. Physica Verlag
-
Ślezak, D.: Various Approaches to Reasoning with Frequency Based Decision Reducts. In: Rough Set Methods and Applications. New Developments in Knowledge Discovery in Information Systems. Studies in Fuzziness and Soft Computing, vol.56, pp. 235-288. Physica Verlag (2000
-
(2000)
New Developments in Knowledge Discovery in Information Systems
, vol.56
, pp. 235-288
-
-
Ślezak, D.1
-
29
-
-
0036948613
-
Approximate entropy reducts
-
Ślezak, D.: Approximate Entropy Reducts. Fundamenta Informaticae 53(3-4), 365-390 (2002
-
(2002)
Fundamenta Informaticae
, vol.53
, Issue.3-4
, pp. 365-390
-
-
Ślezak, D.1
-
30
-
-
26944474797
-
Association reducts: A framework for mining multi-attribute dependencies
-
Hacid, M.-S., Murray, N.V., Rás, Z.W., Tsumoto, S. (eds.) ISMIS 2005. Springer, Heidelberg
-
Ślezak, D.: Association Reducts: A Framework for Mining Multi-Attribute Dependencies. In: Hacid, M.-S., Murray, N.V., Rás, Z.W., Tsumoto, S. (eds.) ISMIS 2005. LNCS, vol.3488, pp. 354-363. Springer, Heidelberg (2005
-
(2005)
LNCS
, vol.3488
, pp. 354-363
-
-
Ślezak, D.1
-
31
-
-
33746734871
-
Association reducts: Boolean representation
-
Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.). RSKT 2006. Springer, Heidelberg
-
Ślezak, D.: Association Reducts: Boolean Representation. In:Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS, vol.4062, pp. 305-312. Springer, Heidelberg (2006
-
(2006)
LNCS
, vol.4062
, pp. 305-312
-
-
Ślezak, D.1
-
32
-
-
33845239486
-
Association reducts: Complexity and heuristics
-
Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., S-lowínski, R. (eds.) RSCTC 2006. Springer, Heidelberg
-
Ślezak, D.: Association Reducts: Complexity and Heuristics. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., S-lowínski, R. (eds.) RSCTC 2006. LNCS, vol.4259, pp. 157-164. Springer, Heidelberg (2006
-
(2006)
LNCS
, vol.4259
, pp. 157-164
-
-
Ślezak, D.1
-
33
-
-
49349099447
-
Rough sets and few-objects-many-attributes problem - The case study of analysis of gene expression data sets
-
Jeju, Korea, October 11-13
-
Ślezak, D.: Rough Sets and Few-Objects-Many-Attributes Problem - The Case Study of Analysis of Gene Expression Data Sets. In: Proc. of FBIT 2007, Jeju, Korea, October 11-13, pp. 437-440 (2007
-
(2007)
Proc. of FBIT 2007
, pp. 437-440
-
-
Ślezak, D.1
-
34
-
-
56149118708
-
Degrees of conditional (in)dependence: A framework for approximate Bayesian networks and examples related to the rough set-based feature selection
-
Śl- ezak, D.: Degrees of conditional (in)dependence: A framework for approximate Bayesian networks and examples related to the rough set-based feature selection. Information Sciences 179(3), 197-209 (2009
-
(2009)
Information Sciences
, vol.179
, Issue.3
, pp. 197-209
-
-
Ślezak, D.1
-
35
-
-
84867122299
-
Brighthouse: An analytic data warehouse for ad-hoc queries
-
Ślezak, D., Wŕoblewski, J., Eastwood, V., Synak, P.: Brighthouse: an analytic data warehouse for ad-hoc queries. PVLDB 1(2), 1337-1345 (2008
-
(2008)
PVLDB
, vol.1
, Issue.2
, pp. 1337-1345
-
-
Ślezak, D.1
Wŕoblewski, J.2
Eastwood, V.3
Synak, P.4
-
36
-
-
0030418951
-
Discovery of concurrent data models from experimental tables: A rough set approach
-
379-490
-
Suraj, Z.: Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach. Fundam. Inform. 28(3-4), 353-376, 379-490 (1996
-
(1996)
Fundam. Inform
, vol.28
, Issue.3-4
, pp. 353-376
-
-
Suraj, Z.1
-
37
-
-
0038474518
-
Rough set method for synthesis and analysis of concurrent processes
-
Rough Set Methods and Applications. Studies in Fuzziness and Soft Computing. Physica Verlag
-
Suraj, Z.: Rough Set Method for Synthesis and Analysis of Concurrent Processes. In: Rough Set Methods and Applications. New Developments in Knowledge Discovery in Information Systems. Studies in Fuzziness and Soft Computing, vol.56. Physica Verlag (2000
-
(2000)
New Developments in Knowledge Discovery in Information Systems
, vol.56
-
-
Suraj, Z.1
-
38
-
-
0037332841
-
Rough set methods in feature selection and recognition
-
Swiniarski, R.W., Skowron, A.: Rough set methods in feature selection and recognition. Pattern Recognition Letters 24(6), 833-849 (2003
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.6
, pp. 833-849
-
-
Swiniarski, R.W.1
Skowron, A.2
-
39
-
-
0013084629
-
-
Prentice Hall, Englewood Cli.s
-
Ullman, J.D., Garcia-Molina, H., Widom, J.: Database Systems: The Complete Book. Prentice Hall, Englewood Cli.s (2001
-
(2001)
Database Systems: The Complete Book
-
-
Ullman, J.D.1
Garcia-Molina, H.2
Widom, J.3
-
40
-
-
0030406574
-
Theoretical foundations of order-based genetic algorithms
-
Wŕoblewski, J.: Theoretical Foundations of Order-Based Genetic Algorithms. Fundamenta Informaticae 28(3-4), 423-430 (1996
-
(1996)
Fundamenta Informaticae
, vol.28
, Issue.3-4
, pp. 423-430
-
-
Wŕoblewski, J.1
-
41
-
-
0035429376
-
Ensembles of classifiers based on approximate reducts
-
Wŕoblewski, J.: Ensembles of classifiers based on approximate reducts. Fundamenta Informaticae 47(3-4), 351-360 (2001
-
(2001)
Fundamenta Informaticae
, vol.47
, Issue.3-4
, pp. 351-360
-
-
Wŕoblewski, J.1
-
42
-
-
55349110657
-
On reduct construction algorithms
-
Yao, Y.Y., Zhao, Y., Wang, J.: On Reduct Construction Algorithms. Transactions on Computational Science 2, 100-117 (2008
-
(2008)
Transactions on Computational Science
, vol.2
, pp. 100-117
-
-
Yao, Y.Y.1
Zhao, Y.2
Wang, J.3
|