-
2
-
-
34247641064
-
-
Available online at: 〈 〉, 1999
-
KDD Cup 99 Data set, Available online at: 〈 http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html 〉, 1999.
-
KDD Cup 99 Data Set
-
-
-
3
-
-
10944249572
-
Semantics-preserving dimensionality reduction rough and fuzzy-rough based approaches
-
R. Jensen, and Q. Shen Semantics-preserving dimensionality reduction rough and fuzzy-rough based approaches IEEE Trans. Knowl. Data Eng. 16 12 2004 1457 1471
-
(2004)
IEEE Trans. Knowl. Data Eng.
, vol.16
, Issue.12
, pp. 1457-1471
-
-
Jensen, R.1
Shen, Q.2
-
5
-
-
84856043672
-
The mathematical theory of communication
-
C.E. Shannon The mathematical theory of communication Bell Syst. Tech. J. 27 3-4 1948 373 423
-
(1948)
Bell Syst. Tech. J.
, vol.27
, Issue.34
, pp. 373-423
-
-
Shannon, C.E.1
-
6
-
-
0036532821
-
A hybrid filter/wrapper approach of feature selection using information theory
-
M. Sebban, and R. Nock A hybrid filter/wrapper approach of feature selection using information theory Pattern Recognit. 35 4 2002 835 846
-
(2002)
Pattern Recognit.
, vol.35
, Issue.4
, pp. 835-846
-
-
Sebban, M.1
Nock, R.2
-
7
-
-
62349118015
-
Feature selection with dynamic mutual information
-
H.W. Liu, J.G. Sun, L. Liu, and H.J. Zhang Feature selection with dynamic mutual information Pattern Recognit. 42 7 2009 1330 1339
-
(2009)
Pattern Recognit.
, vol.42
, Issue.7
, pp. 1330-1339
-
-
Liu, H.W.1
Sun, J.G.2
Liu, L.3
Zhang, H.J.4
-
8
-
-
76749129275
-
Supervised feature selection by clustering using conditional mutual information-based distances
-
J.M. Sotoca, and F. Pla Supervised feature selection by clustering using conditional mutual information-based distances Pattern Recognit. 43 6 2010 2068 2081
-
(2010)
Pattern Recognit.
, vol.43
, Issue.6
, pp. 2068-2081
-
-
Sotoca, J.M.1
Pla, F.2
-
9
-
-
79959337440
-
Correntropy based feature selection using binary projection
-
H. Yan, X.T. Yuan, S.C. Yan, and J.Y. Yang Correntropy based feature selection using binary projection Pattern Recognit. 44 12 2011 2834 2842
-
(2011)
Pattern Recognit.
, vol.44
, Issue.12
, pp. 2834-2842
-
-
Yan, H.1
Yuan, X.T.2
Yan, S.C.3
Yang, J.Y.4
-
12
-
-
0037692973
-
Feature ranking in rough sets
-
K.Y. Hu, Y.C. Lu, and C.Y. Shi Feature ranking in rough sets AI Commun. 16 1 2003 41 50
-
(2003)
AI Commun.
, vol.16
, Issue.1
, pp. 41-50
-
-
Hu, K.Y.1
Lu, Y.C.2
Shi, C.Y.3
-
13
-
-
34547699509
-
Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
-
Q.H. Hu, Z.X. Xie, and D.R. Yu Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation Pattern Recognit. 40 12 2007 3509 3521
-
(2007)
Pattern Recognit.
, vol.40
, Issue.12
, pp. 3509-3521
-
-
Hu, Q.H.1
Xie, Z.X.2
Yu, D.R.3
-
14
-
-
46749140199
-
Neighborhood rough set based heterogeneous feature subset selection
-
Q.H. Hu, D.R. Yu, J.F. Liu, and C.X. Wu Neighborhood rough set based heterogeneous feature subset selection Inf. Sci. 178 18 2008 3577 3594
-
(2008)
Inf. Sci.
, vol.178
, Issue.18
, pp. 3577-3594
-
-
Hu, Q.H.1
Yu, D.R.2
Liu, J.F.3
Wu, C.X.4
-
15
-
-
1542352271
-
The algorithm on knowledge reduction in incomplete information systems
-
J.Y. Liang, and Z.B. Xu The algorithm on knowledge reduction in incomplete information systems Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 10 1 2002 95 103
-
(2002)
Int. J. Uncertain. Fuzziness Knowl.-Based Syst.
, vol.10
, Issue.1
, pp. 95-103
-
-
Liang, J.Y.1
Xu, Z.B.2
-
16
-
-
77951766769
-
Feature selection using f-information measures in fuzzy approximation spaces
-
P. Maji, and S.K. Pal Feature selection using f-information measures in fuzzy approximation spaces IEEE Trans. Knowl. Data Eng. 22 6 2010 854 867
-
(2010)
IEEE Trans. Knowl. Data Eng.
, vol.22
, Issue.6
, pp. 854-867
-
-
Maji, P.1
Pal, S.K.2
-
17
-
-
0002589018
-
An heuristic algorithm of knowledge reduction
-
D.Q. Miao, and G.R. Hu An heuristic algorithm of knowledge reduction Comput. Res. Dev. 36 6 1999 681 684
-
(1999)
Comput. Res. Dev.
, vol.36
, Issue.6
, pp. 681-684
-
-
Miao, D.Q.1
Hu, G.R.2
-
18
-
-
58249084603
-
Exploring the boundary region of tolerance rough sets for feature selection
-
N.M. Parthaláin, and Q. Shen Exploring the boundary region of tolerance rough sets for feature selection Pattern Recognit. 42 5 2009 655 667
-
(2009)
Pattern Recognit.
, vol.42
, Issue.5
, pp. 655-667
-
-
Parthaláin, N.M.1
Shen, Q.2
-
20
-
-
79953066019
-
An efficient accelerator for attribute reduction from incomplete data in rough set framework
-
Y.H. Qian, J.Y. Liang, W. Pedrycz, and C.Y. Dang An efficient accelerator for attribute reduction from incomplete data in rough set framework Pattern Recognit. 44 8 2011 1658 1670
-
(2011)
Pattern Recognit.
, vol.44
, Issue.8
, pp. 1658-1670
-
-
Qian, Y.H.1
Liang, J.Y.2
Pedrycz, W.3
Dang, C.Y.4
-
21
-
-
2442528339
-
Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring
-
Q. Shen, and R. Jensen Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring Pattern Recognit. 37 7 2004 1351 1363
-
(2004)
Pattern Recognit.
, vol.37
, Issue.7
, pp. 1351-1363
-
-
Shen, Q.1
Jensen, R.2
-
22
-
-
0036948613
-
Approximate entropy reducts
-
D. Slezak Approximate entropy reducts Fundam. Inform. 53 3-4 2002 365 390
-
(2002)
Fundam. Inform.
, vol.53
, Issue.34
, pp. 365-390
-
-
Slezak, D.1
-
23
-
-
0036662454
-
Decision table reduction based on conditional information entropy
-
G.Y. Wang, H. Yu, and D.C. Yang Decision table reduction based on conditional information entropy Chin. J. Comput. 25 7 2002 759 766
-
(2002)
Chin. J. Comput.
, vol.25
, Issue.7
, pp. 759-766
-
-
Wang, G.Y.1
Yu, H.2
Yang, D.C.3
-
24
-
-
33845523839
-
Feature selection based on rough sets and particle swarm optimization
-
X.Y. Wang, J. Yang, X.L. Teng, W.J. Xia, and R. Jensen Feature selection based on rough sets and particle swarm optimization Pattern Recognit. Lett. 28 4 2007 459 471
-
(2007)
Pattern Recognit. Lett.
, vol.28
, Issue.4
, pp. 459-471
-
-
Wang, X.Y.1
Yang, J.2
Teng, X.L.3
Xia, W.J.4
Jensen, R.5
-
28
-
-
33746727630
-
An enhanced support vector machine model for intrusion detection
-
Springer, Berlin
-
J.T. Yao, S.L. Zhao, L. Fan, An enhanced support vector machine model for intrusion detection, in: Proceedings of RSKT 2006, Lecture Notes in Artificial Intelligence, vol. 4062, Springer, Berlin, 2006, pp. 538-543.
-
(2006)
Proceedings of RSKT 2006, Lecture Notes in Artificial Intelligence
, vol.4062
, pp. 538-543
-
-
Yao, J.T.1
Zhao, S.L.2
Fan, L.3
-
29
-
-
0036833247
-
A rough-fuzzy approach for generating classification rules
-
Q. Shen, and A. Chouchoulas A rough-fuzzy approach for generating classification rules Pattern Recognit. 35 11 2002 2425 2438
-
(2002)
Pattern Recognit.
, vol.35
, Issue.11
, pp. 2425-2438
-
-
Shen, Q.1
Chouchoulas, A.2
-
30
-
-
80054074451
-
A rough set approach to feature selection based on relative decision entropy
-
L. Zhou, F. Jiang, A rough set approach to feature selection based on relative decision entropy, in: Proceedings of the 6th International Conference on Rough Set and Knowledge Technology, Lecture Notes in Computer Science, vol. 6954, 2011, pp. 110-119.
-
(2011)
Proceedings of the 6th International Conference on Rough Set and Knowledge Technology, Lecture Notes in Computer Science
, vol.6954
, pp. 110-119
-
-
Zhou, L.1
Jiang, F.2
-
32
-
-
0032205549
-
Uncertainty measures of rough set prediction
-
I. Düntsch, and G. Gediga Uncertainty measures of rough set prediction Artif. Intell. 106 1998 109 137
-
(1998)
Artif. Intell.
, vol.106
, pp. 109-137
-
-
Düntsch, I.1
Gediga, G.2
-
33
-
-
33750915055
-
Information entropy rough entropy, and knowledge granularity in incomplete information systems
-
J.Y. Liang, Z.Z. Shi, D.Y. Li, and M.J. Wierman Information entropy rough entropy, and knowledge granularity in incomplete information systems Int. J. Gen. Syst. 35 6 2006 641 654
-
(2006)
Int. J. Gen. Syst.
, vol.35
, Issue.6
, pp. 641-654
-
-
Liang, J.Y.1
Shi, Z.Z.2
Li, D.Y.3
Wierman, M.J.4
-
34
-
-
0000518312
-
Discretization methods in data mining
-
L. Polkowski, A. Skowron, Physica Heidelberg
-
H.S. Nguyen, and S.H. Nguyen Discretization methods in data mining L. Polkowski, A. Skowron, Rough Sets in Knowledge Discovery 1998 Physica Heidelberg 451 482
-
(1998)
Rough Sets in Knowledge Discovery
, pp. 451-482
-
-
Nguyen, H.S.1
Nguyen, S.H.2
-
37
-
-
77955994115
-
Feature selection of the intrusion detection data based on particle swarm optimization and neighborhood reduction
-
S.T. Chen, G.L. Chen, W.Z. Guo, and Y.H. Liu Feature selection of the intrusion detection data based on particle swarm optimization and neighborhood reduction J. Comput. Res. Dev. 47 7 2010 1261 1267
-
(2010)
J. Comput. Res. Dev.
, vol.47
, Issue.7
, pp. 1261-1267
-
-
Chen, S.T.1
Chen, G.L.2
Guo, W.Z.3
Liu, Y.H.4
-
41
-
-
33744584654
-
Induction of decision trees
-
R. Quinlan Induction of decision trees Mach. Learn. 1 1 1986 81 106
-
(1986)
Mach. Learn.
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, R.1
-
44
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi, and G. John Wrappers for feature subset selection Artif. Intell. 97 1997 273 324
-
(1997)
Artif. Intell.
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.2
-
45
-
-
84942785917
-
Consistency based feature selection
-
M. Dash, H. Liu, H. Motoda, Consistency based feature selection, in: Proceedings of the 4th Pacific Asia Conference on Knowledge Discovery and Data Mining, Springer, Kyoto, Japan, 2000, pp. 98-109.
-
(2000)
Proceedings of the 4th Pacific Asia Conference on Knowledge Discovery and Data Mining, Springer, Kyoto, Japan
, pp. 98-109
-
-
Dash, M.1
Liu, H.2
Motoda, H.3
-
47
-
-
0036532805
-
Feature analysis through information granulation and fuzzy sets
-
W. Pedrycz, and G. Vukovich Feature analysis through information granulation and fuzzy sets Pattern Recognit. 35 4 2002 825 834
-
(2002)
Pattern Recognit.
, vol.35
, Issue.4
, pp. 825-834
-
-
Pedrycz, W.1
Vukovich, G.2
-
48
-
-
80053240887
-
Kernelized fuzzy rough sets and their applications
-
Q.H. Hu, D.R. Yu, W. Pedrycz, and D.G. Chen Kernelized fuzzy rough sets and their applications IEEE Trans. Knowl. Data Eng. 23 11 2011 1649 1667
-
(2011)
IEEE Trans. Knowl. Data Eng.
, vol.23
, Issue.11
, pp. 1649-1667
-
-
Hu, Q.H.1
Yu, D.R.2
Pedrycz, W.3
Chen, D.G.4
-
49
-
-
0038707110
-
-
Warsaw University of Technology
-
G. Michal, S. Jacek, RSL - The Rough Set Library, Version 2.0, ICS Research Report, Warsaw University of Technology, 1994.
-
(1994)
RSL - The Rough Set Library, Version 2.0, ICS Research Report
-
-
Michal, G.1
Jacek, S.2
-
50
-
-
34547576241
-
Feature selection using rough set in intrusion detection
-
A. Zainal, M.A. Maarof, S.M. Shamsuddin, Feature selection using rough set in intrusion detection, in: IEEE TENCON 2006, Hongkong, 2006, pp. 1-4.
-
(2006)
IEEE TENCON 2006, Hongkong
, pp. 1-4
-
-
Zainal, A.1
Maarof, M.A.2
Shamsuddin, S.M.3
-
51
-
-
0036851028
-
Rough sets and intelligent data analysis
-
Z. Pawlak Rough sets and intelligent data analysis Inf. Sci. 147 1 2002 1 12
-
(2002)
Inf. Sci.
, vol.147
, Issue.1
, pp. 1-12
-
-
Pawlak, Z.1
|