-
1
-
-
0032093405
-
A rough set approach to attribute generalization in data mining
-
Chan C.C. A rough set approach to attribute generalization in data mining. Information Sciences 107 (1998) 177-194
-
(1998)
Information Sciences
, vol.107
, pp. 177-194
-
-
Chan, C.C.1
-
2
-
-
0000549391
-
An approach for attribute reduction and rule generation based on rough set theory
-
Chang L., Wang G., and Wu Y. An approach for attribute reduction and rule generation based on rough set theory. Journal of Software 10 11 (1999) 1206-1211
-
(1999)
Journal of Software
, vol.10
, Issue.11
, pp. 1206-1211
-
-
Chang, L.1
Wang, G.2
Wu, Y.3
-
3
-
-
0013326060
-
Feature selection for classification
-
Dash M., and Liu H. Feature selection for classification. Intelligence Data Analysis 1 (1997) 131-156
-
(1997)
Intelligence Data Analysis
, vol.1
, pp. 131-156
-
-
Dash, M.1
Liu, H.2
-
4
-
-
25844491810
-
An intelligent intrusion detection system (ids) for anomaly and misuse detection in computer networks
-
Depren O., Topallar M., Anarim E., and Ciliz M.K. An intelligent intrusion detection system (ids) for anomaly and misuse detection in computer networks. Expert Systems with Applications 29 4 (2005) 713-722
-
(2005)
Expert Systems with Applications
, vol.29
, Issue.4
, pp. 713-722
-
-
Depren, O.1
Topallar, M.2
Anarim, E.3
Ciliz, M.K.4
-
7
-
-
34248198229
-
Characteristic relations for incomplete data: A generalization of the indiscernibility relation
-
Grzymala-Busse J.W. Characteristic relations for incomplete data: A generalization of the indiscernibility relation. Transactions on Rough Sets IV (2005) 58-68
-
(2005)
Transactions on Rough Sets
, vol.IV
, pp. 58-68
-
-
Grzymala-Busse, J.W.1
-
8
-
-
34248226187
-
-
J.W. Grzymala-Busse, S. Siddhaye, Rough set approaches to rule induction from incomplete data, in: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2004, pp. 923-930.
-
-
-
-
9
-
-
34248232859
-
-
M.A. Hall, Correlation-based feature selection for machine learning, Ph.D. thesis, Waikato University, New Zealand, 1999.
-
-
-
-
10
-
-
0036567302
-
Learning rules from incomplete training examples by rough sets
-
Hong T.P., Tseng L.H., and Wang S.L. Learning rules from incomplete training examples by rough sets. Expert System with Applications 22 4 (2002) 285-293
-
(2002)
Expert System with Applications
, vol.22
, Issue.4
, pp. 285-293
-
-
Hong, T.P.1
Tseng, L.H.2
Wang, S.L.3
-
11
-
-
0022848955
-
Feature selection and extraction
-
Young T.Y., and Fu K. (Eds), Academic Press, New York
-
Kittler J. Feature selection and extraction. In: Young T.Y., and Fu K. (Eds). Handbook of Pattern Recognition and Image Processing (1986), Academic Press, New York 203-217
-
(1986)
Handbook of Pattern Recognition and Image Processing
, pp. 203-217
-
-
Kittler, J.1
-
12
-
-
0032294902
-
Rough set approach to incomplete information system
-
Kryszkiewicz M. Rough set approach to incomplete information system. Information Sciences 112 (1998) 39-49
-
(1998)
Information Sciences
, vol.112
, pp. 39-49
-
-
Kryszkiewicz, M.1
-
14
-
-
0034960598
-
Rough set theory: A data mining tool for semiconductor manufacturing
-
Kusiak A. Rough set theory: A data mining tool for semiconductor manufacturing. IEEE Transaction on Electronics Packaging Manufacturing 24 1 (2001) 44-50
-
(2001)
IEEE Transaction on Electronics Packaging Manufacturing
, vol.24
, Issue.1
, pp. 44-50
-
-
Kusiak, A.1
-
15
-
-
1542375815
-
-
T. Li, J. Ma, Y. Xu, N. Yang, An approach to attribute generalization in incomplete information system, in: International Conference on Machine Learning and Cybernetics, 2003, pp. 1678-1691.
-
-
-
-
16
-
-
34248218928
-
A generalization rough set approach to attribute generalization in data mining
-
Li T., and Xu Y. A generalization rough set approach to attribute generalization in data mining. Journal of Southwest Jiaotong University 8 1 (2000) 69-75
-
(2000)
Journal of Southwest Jiaotong University
, vol.8
, Issue.1
, pp. 69-75
-
-
Li, T.1
Xu, Y.2
-
17
-
-
4544246194
-
-
T. Li, N. Yang, Y. Xu, J. Ma, An incremental algorithm for mining classification rules in incomplete information system, in: International Conference of the North American Fuzzy Information, 2004, pp. 446-449.
-
-
-
-
19
-
-
0007417922
-
Decision rules with rough operator and soft computing of data mining
-
Liu Q., Huang Z., Liu S., and Yao L. Decision rules with rough operator and soft computing of data mining. Journal of Computer Research & Development 36 7 (1999) 800-804
-
(1999)
Journal of Computer Research & Development
, vol.36
, Issue.7
, pp. 800-804
-
-
Liu, Q.1
Huang, Z.2
Liu, S.3
Yao, L.4
-
22
-
-
34248177183
-
The problem of disguised missing data
-
Pearson R.K. The problem of disguised missing data. SIGKDD Explorations 8 1 (2006) 83-92
-
(2006)
SIGKDD Explorations
, vol.8
, Issue.1
, pp. 83-92
-
-
Pearson, R.K.1
-
23
-
-
0037332842
-
Classification of meteorological volumetric radar data using rough set methods
-
Peters J.F., Suraj Z., Shan S., Ramanna S., Pedrycz W., and Pizzi N. Classification of meteorological volumetric radar data using rough set methods. Pattern Recognition Letters 24 6 (2003) 911-920
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.6
, pp. 911-920
-
-
Peters, J.F.1
Suraj, Z.2
Shan, S.3
Ramanna, S.4
Pedrycz, W.5
Pizzi, N.6
-
26
-
-
33751373279
-
Aiding classification of gene expression data with feature selection: A comparative study
-
Shang C., and Shen Q. Aiding classification of gene expression data with feature selection: A comparative study. International Journal of Computational Intelligence Research 1 1 (2005) 68-76
-
(2005)
International Journal of Computational Intelligence Research
, vol.1
, Issue.1
, pp. 68-76
-
-
Shang, C.1
Shen, Q.2
-
28
-
-
0035414869
-
Incomplete information tables and rough classification
-
Stefanowski J., and Tsoukias A. Incomplete information tables and rough classification. Computational Intelligence 17 (2001) 545-566
-
(2001)
Computational Intelligence
, vol.17
, pp. 545-566
-
-
Stefanowski, J.1
Tsoukias, A.2
-
29
-
-
2342616187
-
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model
-
Tsumoto S. Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model. Information Sciences 162 2 (2004) 65-80
-
(2004)
Information Sciences
, vol.162
, Issue.2
, pp. 65-80
-
-
Tsumoto, S.1
-
31
-
-
2342664664
-
RRIA: A rough set and rule tree based incremental knowledge acquisition algorithm
-
Zheng Z., and Wang G. RRIA: A rough set and rule tree based incremental knowledge acquisition algorithm. Fundamenta Informaticae 59 2-3 (2004) 299-313
-
(2004)
Fundamenta Informaticae
, vol.59
, Issue.2-3
, pp. 299-313
-
-
Zheng, Z.1
Wang, G.2
|