-
2
-
-
34249989501
-
-
Baykasoǧlu, A., Özbakir, L., 2005. A new multiple expression programming based approach to discover classification rules for data mining applications. In: CIE35 35th International Conference on Computers & Industrial Engineering, 19-22 June 2005, Istanbul, pp. 257-262.
-
-
-
-
4
-
-
0347479357
-
A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets
-
Bojarczuk C.C., Lopes H.S., Freitas A.A., and Michalkiewicz E.L. A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. Artificial Intelligence in Medicine 30 (2004) 27-48
-
(2004)
Artificial Intelligence in Medicine
, vol.30
, pp. 27-48
-
-
Bojarczuk, C.C.1
Lopes, H.S.2
Freitas, A.A.3
Michalkiewicz, E.L.4
-
5
-
-
0035247432
-
A comparison of linear genetic programming and neural networks in medical data mining
-
Brameier M., and Banzhaf W. A comparison of linear genetic programming and neural networks in medical data mining. IEEE Transactions on Evolutionary Computation 5 1 (2001) 17-26
-
(2001)
IEEE Transactions on Evolutionary Computation
, vol.5
, Issue.1
, pp. 17-26
-
-
Brameier, M.1
Banzhaf, W.2
-
6
-
-
2442702710
-
A genetic algorithm with sequential niching for discovering small-disjunct rules
-
Langdon W.B., et al. (Ed), Morgan Kaufmann, New York, San Francisco, USA
-
Carvalho D.R., and Freitas A.A. A genetic algorithm with sequential niching for discovering small-disjunct rules. In: Langdon W.B., et al. (Ed). Proceedings Genetic and Evolutionary Computation Conference (GECCO-2002) (2002), Morgan Kaufmann, New York, San Francisco, USA 1035-1042
-
(2002)
Proceedings Genetic and Evolutionary Computation Conference (GECCO-2002)
, pp. 1035-1042
-
-
Carvalho, D.R.1
Freitas, A.A.2
-
9
-
-
0036079474
-
Discovering interesting classification rules with genetic programming
-
De Falco I., Cioppa A.D., and Tarantino E. Discovering interesting classification rules with genetic programming. Applied Soft Computing 1 (2002) 257-269
-
(2002)
Applied Soft Computing
, vol.1
, pp. 257-269
-
-
De Falco, I.1
Cioppa, A.D.2
Tarantino, E.3
-
10
-
-
34249990179
-
-
Fayyad, U., Irani, K.B., 1993. Multi-interval discretization of continuous-valued attributes for classification learning. In: Proceedings of 13th International Joint Conference on Artificial Intelligence, pp. 1022-1027.
-
-
-
-
11
-
-
0347499408
-
Gene expression programming: A new adaptive algorithm for solving problems
-
Ferreira C. Gene expression programming: A new adaptive algorithm for solving problems. Complex Systems 13 2 (2001) 87-129
-
(2001)
Complex Systems
, vol.13
, Issue.2
, pp. 87-129
-
-
Ferreira, C.1
-
12
-
-
0033671768
-
-
Fidelis, M.V., Lopes, H.S., Freitas, A.A., 2000. Discovering comprehensible classification rules with a genetic algorithm. In: Proceedings Congress on Evolutionary Computation (CEC-2000). La Jolla, CA, USA, pp. 805-810.
-
-
-
-
14
-
-
0002344899
-
A genetic programming framework for two data mining tasks: classification and generalized rule induction
-
Morgan Kaufmann, Stanford University
-
Freitas A.A. A genetic programming framework for two data mining tasks: classification and generalized rule induction. Proceedings of the 2nd Annual Conference, Genetic Programming 1997 (1997), Morgan Kaufmann, Stanford University 96-101
-
(1997)
Proceedings of the 2nd Annual Conference, Genetic Programming 1997
, pp. 96-101
-
-
Freitas, A.A.1
-
15
-
-
0012141368
-
A survey of evolutionary algorithms for data mining and knowledge discovery
-
Ghosh A., and Tsutsui S. (Eds), Springer, Berlin
-
Freitas A.A. A survey of evolutionary algorithms for data mining and knowledge discovery. In: Ghosh A., and Tsutsui S. (Eds). Advances in Evolutionary Computation (2002), Springer, Berlin
-
(2002)
Advances in Evolutionary Computation
-
-
Freitas, A.A.1
-
16
-
-
0037004445
-
Artificial immune system classification of multiple-class problems
-
Dagli C.H., Buczak A.L., Ghosh J., Embrechts M.J., Ersoy O., and Kercel S.W. (Eds), ASME Press, New York
-
Goodman D., Boggess L., and Watkins A. Artificial immune system classification of multiple-class problems. In: Dagli C.H., Buczak A.L., Ghosh J., Embrechts M.J., Ersoy O., and Kercel S.W. (Eds). Intelligent Engineering Systems Through Artificial Neural Networks 12 (2002), ASME Press, New York 179-184
-
(2002)
Intelligent Engineering Systems Through Artificial Neural Networks
, vol.12
, pp. 179-184
-
-
Goodman, D.1
Boggess, L.2
Watkins, A.3
-
17
-
-
33845318124
-
-
Hassan, Y., and Tazaki, E., 2001. Rule extraction based on rough set theory combined with genetic programming and its application to medical data analysis. In: Seventh Australian and New Zeland Intelligent Information Systems Conference. Perth, Western Australia, pp. 18-21.
-
-
-
-
19
-
-
84948977233
-
The Power of decision tables
-
Machine Learning: Proceedings of the Eighth European Conference on Machine Learning ECML95. Lavrac N., and Wrobel S. (Eds), Springer-Verlag
-
Kohavi R. The Power of decision tables. In: Lavrac N., and Wrobel S. (Eds). Machine Learning: Proceedings of the Eighth European Conference on Machine Learning ECML95. Lecture Notes in Artificial Intelligence vol. 914 (1995), Springer-Verlag 174-189
-
(1995)
Lecture Notes in Artificial Intelligence
, vol.914
, pp. 174-189
-
-
Kohavi, R.1
-
21
-
-
14644405021
-
Predicting survival time for kidney dialysis patients: a data mining approach
-
Kusiak A., Dixon B., and Shah S. Predicting survival time for kidney dialysis patients: a data mining approach. Computers in Biology and Medicine 35 4 (2005) 311-327
-
(2005)
Computers in Biology and Medicine
, vol.35
, Issue.4
, pp. 311-327
-
-
Kusiak, A.1
Dixon, B.2
Shah, S.3
-
22
-
-
28444474752
-
Hypoplastic left heart syndrome: knowledge discovery with a data mining approach
-
Kusiak A., Caldarone C.A., Kelleher M.D., Lamb F.S., Persoon T.J., and Burns A. Hypoplastic left heart syndrome: knowledge discovery with a data mining approach. Computers in Biology and Medicine 36 1 (2006) 21-40
-
(2006)
Computers in Biology and Medicine
, vol.36
, Issue.1
, pp. 21-40
-
-
Kusiak, A.1
Caldarone, C.A.2
Kelleher, M.D.3
Lamb, F.S.4
Persoon, T.J.5
Burns, A.6
-
23
-
-
0032895111
-
Selected techniques for data mining in medicine
-
Lavrac N. Selected techniques for data mining in medicine. Artificial Intelligence in Medicine 16 (1999) 3-23
-
(1999)
Artificial Intelligence in Medicine
, vol.16
, pp. 3-23
-
-
Lavrac, N.1
-
24
-
-
2042476687
-
Mining classification rules using rough sets and neural networks
-
Li R., and Wang Z.-O. Mining classification rules using rough sets and neural networks. European Journal of Operational Research 157 (2004) 439-448
-
(2004)
European Journal of Operational Research
, vol.157
, pp. 439-448
-
-
Li, R.1
Wang, Z.-O.2
-
26
-
-
0344889208
-
Medical data mining using evolutionary computation
-
Ngan P.S., Wong M.L., Lam W., Leung K.S., and Cheng J.C.Y. Medical data mining using evolutionary computation. Artificial Intelligence in Medicine 16 (1999) 73-96
-
(1999)
Artificial Intelligence in Medicine
, vol.16
, pp. 73-96
-
-
Ngan, P.S.1
Wong, M.L.2
Lam, W.3
Leung, K.S.4
Cheng, J.C.Y.5
-
27
-
-
34250002888
-
-
Oltean, M., Dumitrescu, D., 2002. Multi expression programming, technical report, UBB-01-2002, Babeş-Bolyai University, Cluj-Napoca, Romania. Available from: .
-
-
-
-
28
-
-
7444241025
-
Evolving evolutionary algorithms using multi expression programming
-
The 7th European Conference on Artificial Life, September 14-17, 2003, Dortmund. Banzhaf W., et al. (Ed), Springer-Verlag, Berlin
-
Oltean M., and Grosan C. Evolving evolutionary algorithms using multi expression programming. In: Banzhaf W., et al. (Ed). The 7th European Conference on Artificial Life, September 14-17, 2003, Dortmund. LNAI 2801 (2003), Springer-Verlag, Berlin 651-658
-
(2003)
LNAI 2801
, pp. 651-658
-
-
Oltean, M.1
Grosan, C.2
-
29
-
-
11244320455
-
Evolving digital circuits using multi expression programming
-
Zebulum R., et al. (Ed), IEEE Press, NJ
-
Oltean M., and Grosan C. Evolving digital circuits using multi expression programming. In: Zebulum R., et al. (Ed). NASA/DoD Conference on Evolvable Hardware, 24-26 June, Seattle (2004), IEEE Press, NJ 87-90
-
(2004)
NASA/DoD Conference on Evolvable Hardware, 24-26 June, Seattle
, pp. 87-90
-
-
Oltean, M.1
Grosan, C.2
-
30
-
-
26844481029
-
An ant colony based system for data mining: applications to medical data
-
Morgan Kaufmann, San Francisco, California
-
Parpinelli R.S., Lopes H.S., and Freitas A.A. An ant colony based system for data mining: applications to medical data. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001) (2001), Morgan Kaufmann, San Francisco, California 791-798
-
(2001)
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001)
, pp. 791-798
-
-
Parpinelli, R.S.1
Lopes, H.S.2
Freitas, A.A.3
-
32
-
-
0038232428
-
An empirical study of design and testing of hybrid evolutionary-neural approach for classification
-
Pendharkar P.C. An empirical study of design and testing of hybrid evolutionary-neural approach for classification. Omega 29 4 (2001) 361-374
-
(2001)
Omega
, vol.29
, Issue.4
, pp. 361-374
-
-
Pendharkar, P.C.1
-
33
-
-
0000532568
-
Association, statistical, mathematical and neural approaches for mining breast cancer patterns
-
Pendharkar P.C., Rodger J.A., Yaverbaum G.J., Herman N., and Benner M. Association, statistical, mathematical and neural approaches for mining breast cancer patterns. Expert Systems with Applications 17 (1999) 223-232
-
(1999)
Expert Systems with Applications
, vol.17
, pp. 223-232
-
-
Pendharkar, P.C.1
Rodger, J.A.2
Yaverbaum, G.J.3
Herman, N.4
Benner, M.5
-
35
-
-
84952764091
-
-
Santos, R., Nievola, J.C., Freitas, A.A., 2000. Extracting comprehensible rules from neural networks via genetic algorithms. In: Proceedings of the IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (ECNN-2000). San Antonio, TX, USA, pp. 130-139.
-
-
-
-
36
-
-
34250013484
-
-
Takac, A., 2003. Genetic programming in data mining: cellular approach. MSc Thesis, Institute of Informatics Faculty of Mathematics, Physics and Informatics Comenius University, Bratislava, Slovakia.
-
-
-
-
37
-
-
34250000411
-
-
Tan, A.C., Gilbert, D., 2003. An empirical comparison of supervised machine learning techniques in bioinformatics. In: Proceedings of the First Asia Pacific Bioinformatics Conference (APBC 2003).
-
-
-
-
38
-
-
84901397751
-
-
Tan, K.C., Tay, A., Lee, T.H., Heng, C.M., 2002a. Mining multiple comprehensible classification rules using genetic programming. In: IEEE Congress on Evolutionary Computation. Honolulu, HI, pp. 1302-1307.
-
-
-
-
39
-
-
0036113950
-
Automating the drug scheduling of cancer chemotherapy via evolutionary computation
-
Tan K.C., Khor E.F., Cai J., Heng C.M., and Lee T.H. Automating the drug scheduling of cancer chemotherapy via evolutionary computation. Artificial Intelligence in Medicine 25 (2002) 169-185
-
(2002)
Artificial Intelligence in Medicine
, vol.25
, pp. 169-185
-
-
Tan, K.C.1
Khor, E.F.2
Cai, J.3
Heng, C.M.4
Lee, T.H.5
-
41
-
-
33745167714
-
A dual-objective evolutionary algorithm for rules extraction in data mining
-
Tan K.C., Yu Q., and Ang J.H. A dual-objective evolutionary algorithm for rules extraction in data mining. Computational Optimization and Applications 34 (2006) 273-294
-
(2006)
Computational Optimization and Applications
, vol.34
, pp. 273-294
-
-
Tan, K.C.1
Yu, Q.2
Ang, J.H.3
-
42
-
-
33745097420
-
Mining time series data for segmentation by using ant colony optimization
-
Weng S.-S., and Liu Y.-H. Mining time series data for segmentation by using ant colony optimization. European Journal of Operational Research 173 (2006) 921-937
-
(2006)
European Journal of Operational Research
, vol.173
, pp. 921-937
-
-
Weng, S.-S.1
Liu, Y.-H.2
-
43
-
-
0003970654
-
-
Kluwer Academic Publisher,, Norwell, MA, USA
-
Wong L.W., and Leung K.S. Data Mining using Grammar based Genetic Programming and Applications (1999), Kluwer Academic Publisher,, Norwell, MA, USA
-
(1999)
Data Mining using Grammar based Genetic Programming and Applications
-
-
Wong, L.W.1
Leung, K.S.2
|