-
3
-
-
79961177416
-
-
Springer. [Online]
-
T. Hastie, R. Tibshirani, J. Friedman, and J. Franklin, The elements of statistical learning: data mining, inference and prediction. Springer, 2005, vol. 27, no. 2. [Online]. Available: http://scholar.google.de/scholar.bib?q= info:roqIsr0iT4UJ:scholar.google.com/&output=citation&hl=de&assdt= 2000&ct=citation&cd=0
-
(2005)
The Elements of Statistical Learning: Data Mining, Inference and Prediction
, vol.27
, Issue.2
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
Franklin, J.4
-
4
-
-
0018183618
-
Agglomerative clustering using the concept of mutual nearest neighbourhood
-
DOI 10.1016/0031-3203(78)90018-3
-
K. C. Gowda and G. Krishna, "Agglomerative clustering using the concept of mutual nearest neighbourhood," Pattern Recognition, vol. 10, no. 2, pp. 105-112, 1978. [Online]. Available: http://www.sciencedirect.com/ science/article/ B6V14-48MPGX5-2V/2/2fc3a1a811e0741a9b89d03ea4cd56b1 (Pubitemid 9029736)
-
(1978)
Pattern Recognition
, vol.10
, Issue.2
, pp. 105-112
-
-
Gowda, K.C.1
Krishna, G.2
-
6
-
-
37549018049
-
Top 10 algorithms in data mining
-
[Online]
-
X. Wu, V. Kumar, J. R. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. McLachlan, A. Ng, B. Liu, P. Yu et al., "Top 10 algorithms in data mining," Knowledge and Information Systems, vol. 14, no. 1, pp. 1-37, 2008. [Online]. Available: http://scholar.google.com.au/scholar.bib?q=info: CLKitXYAt4sJ:scholar.google.com/&output=citation&hl=en&assdt= 2000&ct=citation&cd=0
-
(2008)
Knowledge and Information Systems
, vol.14
, Issue.1
, pp. 1-37
-
-
Wu, X.1
Kumar, V.2
Quinlan, J.R.3
Ghosh, J.4
Yang, Q.5
Motoda, H.6
McLachlan, G.7
Ng, A.8
Liu, B.9
Yu, P.10
-
7
-
-
84893405732
-
Data clustering: A review
-
[Online]
-
A. Jain, M. Murty, and P. Flynn, "Data clustering: A review," ACM Computing Survey, vol. 31, no. 3, pp. 264-323, 1999. [Online]. Available: http://explorer.csse.uwa.edu.au/reference/browse\paper.php?pid=233281708
-
(1999)
ACM Computing Survey
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.1
Murty, M.2
Flynn, P.3
-
8
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the em algorithm." J. Royal Statistical Society, Series B, vol. 39, no. 1, pp. 1-38, 1977.
-
(1977)
J. Royal Statistical Society, Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
11
-
-
33744584654
-
Induction of decision trees
-
J. R. Quinlan, "Induction of decision trees," Machine Learning, vol. 5, no. 1, pp. 71-100, 1986.
-
(1986)
Machine Learning
, vol.5
, Issue.1
, pp. 71-100
-
-
Quinlan, J.R.1
-
12
-
-
0030383603
-
Effective data mining using neural networks
-
H. Lu, R. Setiono, and H. Liu, "Effective data mining using neural networks." IEEE Trans. Knowl. Data Eng., vol. 8, no. 6, pp. 957-961, 1996. [Online]. Available: http://dblp.uni-trier.de/db/journals/tkde/tkde8.html#LuSL96 (Pubitemid 126774151)
-
(1996)
IEEE Transactions on Knowledge and Data Engineering
, vol.8
, Issue.6
, pp. 957-961
-
-
Lu, H.1
Setiono, R.2
Liu, H.3
-
13
-
-
0026966646
-
Training algorithm for optimal margin classifiers
-
B. E. Boser, I. Guyon, and V. Vapnik, "A training algorithm for optimal margin classifiers," in Computational Learing Theory, 1992, pp. 144-152. [Online]. Available: http://www.svms.org/training/BOGV92.pdf (Pubitemid 23615470)
-
(1992)
Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser Bernhard, E.1
Guyon Isabelle, M.2
Vapnik Vladimir, N.3
-
14
-
-
44049090824
-
Survey of improving K-nearest-neighbor for classification
-
DOI 10.1109/FSKD.2007.552, 4406010, Proceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
-
L. Jiang, Z. Cai, D. Wang, and S. Jiang, "Survey of improving k-nearest-neighbor for classification." in FSKD (1), J. Lei, Ed. IEEE Computer Society, 2007, pp. 679-683. [Online]. Available: http://dblp.uni-trier. de/db/conf/fskd/fskd2007-1.html#JiangCWJ07 (Pubitemid 351710686)
-
(2007)
Proceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
, vol.1
, pp. 679-683
-
-
Jiang, L.1
Cai, Z.2
Wang, D.3
Jiang, S.4
-
15
-
-
84949950595
-
Text Categorization Using Weight Adjusted kappa-Nearest Neighbor Classification
-
Advances in Knowledge Discovery and Data Mining 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001 Proceedings
-
E.-H. Han, G. Karypis, and V. Kumar, "Text categorization using weight adjusted k-nearest neighbor classification." in PAKDD, ser. Lecture Notes in Computer Science, D. W.-L. Cheung, G. J. Williams, and Q. Li, Eds., vol. 2035. Springer, 2001, pp. 53-65. [Online]. Available: http://dblp.uni- trier.de/db/conf/pakdd/pakdd2001.html#HanKK01 (Pubitemid 33255095)
-
(2001)
Lecture Notes in Computer Science
, Issue.2035
, pp. 53-65
-
-
Han, E.-H.1
Karypis, G.2
Kumar, V.3
-
16
-
-
0038675390
-
A density based approach to classification
-
ACM. [Online]
-
H. Wang, D. A. Bell, and I. Dntsch, "A density based approach to classification." in SAC. ACM, 2003, pp. 470-474. [Online]. Available: http://dblp.uni-trier.de/db/conf/sac/sac2003.html#WangBD03
-
(2003)
SAC
, pp. 470-474
-
-
Wang, H.1
Bell, D.A.2
Dntsch, I.3
-
17
-
-
58049086127
-
Data gravitation based classification
-
[Online]
-
L. Peng, B. Yang, Y. Chen, and A. Abraham, "Data gravitation based classification." Inf. Sci., vol. 179, no. 6, pp. 809-819, 2009. [Online]. Available: http://dblp.uni-trier.de/db/journals/isci/isci179.html#PengYCA09
-
(2009)
Inf. Sci.
, vol.179
, Issue.6
, pp. 809-819
-
-
Peng, L.1
Yang, B.2
Chen, Y.3
Abraham, A.4
-
18
-
-
27144553769
-
GA-facilitated KNN classifier optimization with varying similarity measures
-
2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
-
M. R. Peterson, T. E. Doom, and M. L. Raymer, "Ga-facilitated knn classifier optimization with varying similarity measures." in Congress on Evolutionary Computation. IEEE, 2005, pp. 2514-2521. [Online]. Available: http://dblp.uni-trier.de/db/conf/cec/cec2005.html#PetersonDR05 (Pubitemid 41496163)
-
(2005)
2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
, vol.3
, pp. 2514-2521
-
-
Peterson, M.R.1
Doom, T.E.2
Raymer, M.L.3
-
19
-
-
1842426380
-
Fast k-nearest neighbor classification using cluster-based trees
-
[Online]
-
B. Zhang and S. N. Srihari, "Fast k-nearest neighbor classification using cluster-based trees." IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 4, pp. 525-528, 2004. [Online]. Available: http://dblp.uni-trier.de/db/ journals/pami/pami26.html#ZhangS04
-
(2004)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.26
, Issue.4
, pp. 525-528
-
-
Zhang, B.1
Srihari, S.N.2
|