-
1
-
-
14544307712
-
Fault-tolerant telecommunication system patterns
-
L. Rising (eds). Cambridge University Press New York
-
Adams M, Coplien J, Gamoke R, Hammer R, Keeve F, Nicodemus K (1998) Fault-tolerant telecommunication system patterns. In: Rising L (eds) The pattern handbook: techniques, strategies, and applications. Cambridge University Press, New York, pp 189-202
-
(1998)
The Pattern Handbook: Techniques, Strategies, and Applications
, pp. 189-202
-
-
Adams, M.1
Coplien, J.2
Gamoke, R.3
Hammer, R.4
Keeve, F.5
Nicodemus, K.6
-
7
-
-
84969135721
-
K-Means++: The advantages of careful seeding
-
Society for Industrial and Applied Mathematics, New Orleans, Louisiana
-
Arthur D, Vassilvitskii S (2007) K-Means++: the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms, Society for Industrial and Applied Mathematics, New Orleans, Louisiana, pp 1027-1035
-
(2007)
Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms
, pp. 1027-1035
-
-
Arthur, D.1
Vassilvitskii, S.2
-
9
-
-
12244300524
-
A probabilistic framework for semi-supervised clustering
-
Seattle, WA
-
Basu S, Bilenko M, Mooney RJ (2004) A probabilistic framework for semi-supervised clustering. In: Proceedings of ACM SIGKDD, Seattle, WA, pp 59-68
-
(2004)
Proceedings of ACM SIGKDD
, pp. 59-68
-
-
Basu, S.1
Bilenko, M.2
Mooney, R.J.3
-
11
-
-
84892062680
-
A survey of clustering data mining techniques
-
J. Kogan C. Nicholas M. Teboulle (eds). Springer Berlin-Heidelberg. 10.1007/3-540-28349-8-2
-
Berkhin P (2006) A survey of clustering data mining techniques. In: Kogan J, Nicholas C, Teboulle M (eds) Grouping multidimensional data. Springer, Berlin-Heidelberg, pp 25-71
-
(2006)
Grouping Multidimensional Data
, pp. 25-71
-
-
Berkhin, P.1
-
12
-
-
14344264451
-
Integrating constraints and metric learning in semi-supervised clustering
-
Banff, Canada
-
Bilenko M, Basu S, Mooney RJ (2004) Integrating constraints and metric learning in semi-supervised clustering. In: Proceedings of the twenty-first international conference on machine learning, Banff, Canada, pp 81-88
-
(2004)
Proceedings of the Twenty-first International Conference on Machine Learning
, pp. 81-88
-
-
Bilenko, M.1
Basu, S.2
Mooney, R.J.3
-
13
-
-
0002550769
-
Refining initial points for k-means clustering
-
Morgan Kaufmann Publishers Inc., San Francisco, CA
-
Bradley PS, Fayyad UM (1998) Refining initial points for k-means clustering. In: Proceedings of the fifteenth international conference on machine learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, pp 91-99
-
(1998)
Proceedings of the Fifteenth International Conference on Machine Learning
, pp. 91-99
-
-
Bradley, P.S.1
Fayyad, U.M.2
-
14
-
-
0041328214
-
K*-Means: A new generalized k-means clustering algorithm
-
DOI 10.1016/S0167-8655(03)00146-6
-
YM Cheung 2003 k*-Means: a new generalized k-means clustering algorithm Pattern Recog Lett 24 2883 2893 1073.68734 10.1016/S0167-8655(03) 00146-6 (Pubitemid 37027808)
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.15
, pp. 2883-2893
-
-
Cheung, Y.-M.1
-
17
-
-
84879584316
-
A pattern-based data mining approach
-
C. Preisach H. Burckhardt L. Schmidt-Thieme (eds). Springer Berlin/Heidelberg. 10.1007/978-3-540-78246-9-39
-
Delibasic B, Kirchner K, Ruhland J et al (2008) A pattern-based data mining approach. In: Preisach C, Burckhardt H, Schmidt-Thieme L (eds) Data analysis, machine learning and applications. Springer, Berlin/Heidelberg, pp 327-334
-
(2008)
Data Analysis, Machine Learning and Applications
, pp. 327-334
-
-
Delibasic, B.1
Kirchner, K.2
Ruhland, J.3
-
18
-
-
14344257496
-
K-means clustering via principal component analysis
-
ACM, New York, NY
-
Ding C, He X (2004) K-means clustering via principal component analysis. In: Proceedings of the twenty-first international conference on machine learning, ACM, New York, NY, p 29
-
(2004)
Proceedings of the Twenty-first International Conference on Machine Learning
, pp. 29
-
-
Ding, C.1
He, X.2
-
19
-
-
75149124079
-
Decision tree toolkit: A component-based library of decision tree algorithms
-
D.Z. Zighed J. Komorowski J. Zytkow (eds). Springer Berlin/Heidelberg
-
Drossos N, Papagelis A, Kalles D (2000) Decision tree toolkit: a component-based library of decision tree algorithms. In: Zighed DZ, Komorowski J, Zytkow J (eds) Principles of data mining and knowledge discovery. Springer, Berlin/Heidelberg, pp 121-150
-
(2000)
Principles of Data Mining and Knowledge Discovery
, pp. 121-150
-
-
Drossos, N.1
Papagelis, A.2
Kalles, D.3
-
20
-
-
0020896210
-
Reusable software engineering: Concepts and research directions
-
Stratford, Connecticut
-
Freeman P (1983) Reusable software engineering: concepts and research directions. In: Workshop on reusability in programming, ITT Programming, Stratford, Connecticut, pp 2-16
-
(1983)
Workshop on Reusability in Programming, ITT Programming
, pp. 2-16
-
-
Freeman, P.1
-
21
-
-
0003880013
-
-
Addison-Wesley Reading, MA
-
Gamma E, Helm R, Johnson R, Vlissides JM (1995) Design patterns: elements of reusable object-oriented software. Addison-Wesley, Reading, MA
-
(1995)
Design Patterns: Elements of Reusable Object-oriented Software
-
-
Gamma, E.1
Helm, R.2
Johnson, R.3
Vlissides, J.M.4
-
24
-
-
0001138328
-
A k-means clustering algorithm
-
0447.62062 10.2307/2346830
-
JA Hartigan MA Wong 1979 A k-means clustering algorithm Appl Stat 28 100 108 0447.62062 10.2307/2346830
-
(1979)
Appl Stat
, vol.28
, pp. 100-108
-
-
Hartigan, J.A.1
Wong, M.A.2
-
28
-
-
33749558210
-
YALE: Rapid prototyping for complex data mining tasks
-
ACM, New York
-
Mierswa I, Wurst M, Klinkenberg R, Scholz M, Euler T (2006) YALE: rapid prototyping for complex data mining tasks. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining, ACM, New York, pp 935-940
-
(2006)
Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 935-940
-
-
Mierswa, I.1
Wurst, M.2
Klinkenberg, R.3
Scholz, M.4
Euler, T.5
-
30
-
-
75149168056
-
Special issue on hybrid techniques in AI
-
10.1007/s10462-008-9088-z
-
NH Siddique BP Amavasai A Ikuta 2007 Special issue on hybrid techniques in AI Artif Intell Rev 27 71 201 10.1007/s10462-008-9088-z
-
(2007)
Artif Intell Rev
, vol.27
, pp. 71-201
-
-
Siddique, N.H.1
Amavasai, B.P.2
Ikuta, A.3
-
32
-
-
35748939406
-
The need for open source software in machine learning
-
S Sonnenburg ML Braun CS Ong S Bengio L Bottou G Holmes Y LeCun KR Müller F Pereira CE Rasmussen G Rätsch B Schölkopf A Smola P Vincent J Weston RC Williamson 2007 The need for open source software in machine learning J Mach Learn Resour 8 2443 2466
-
(2007)
J Mach Learn Resour
, vol.8
, pp. 2443-2466
-
-
Sonnenburg, S.1
Braun, M.L.2
Ong, C.S.3
Bengio, S.4
Bottou, L.5
Holmes, G.6
Lecun, Y.7
Müller, K.R.8
Pereira, F.9
Rasmussen, C.E.10
Rätsch, G.11
Schölkopf, B.12
Smola, A.13
Vincent, P.14
Weston, J.15
Williamson, R.C.16
-
34
-
-
2942628272
-
Improving the self-organizing feature map algorithm using an efficient initialization scheme
-
MC Su TK Liu HT Chang 2002 Improving the self-organizing feature map algorithm using an efficient initialization scheme Tamkang J Sci Eng 5 35 48
-
(2002)
Tamkang J Sci Eng
, vol.5
, pp. 35-48
-
-
Su, M.C.1
Liu, T.K.2
Chang, H.T.3
-
35
-
-
0041498203
-
Where does reuse start
-
10.1145/382296.382702
-
W Tracz 1990 Where does reuse start ACM SIGSOFT Softw Eng Notes 15 42 46 10.1145/382296.382702
-
(1990)
ACM SIGSOFT Softw Eng Notes
, vol.15
, pp. 42-46
-
-
Tracz, W.1
-
36
-
-
0036147388
-
Is this a pattern?
-
DOI 10.1109/52.976942
-
T Winn P Calder 2002 Is this a pattern? IEEE Softw 19 (1 59 66 10.1109/52.976942 (Pubitemid 34069371)
-
(2002)
IEEE Software
, vol.19
, Issue.1
, pp. 59-66
-
-
Winn, T.1
Calder, P.2
-
38
-
-
84879571292
-
Distance metric learning with application to clustering with side-information
-
EP Xing AY Ng MI Jordan S Russell 2003 Distance metric learning with application to clustering with side-information Adv Neural Inf Syst 15 521 528
-
(2003)
Adv Neural Inf Syst
, vol.15
, pp. 521-528
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
39
-
-
33745151929
-
Generic pattern mining via data mining template library
-
J.F. Boulicaut L. De Raedt H. Mannila (eds). Springer Berlin/Heidelberg
-
Zaki M, De N, Gao F, Palmerini P, Parimi N, Pathuri J, Phoophakdee B, Urban J (2005) Generic pattern mining via data mining template library. In: Boulicaut JF, De Raedt L, Mannila H (eds) Constraint-based mining and inductive databases. European workshop on inductive databases and constraint based mining. Springer, Berlin/Heidelberg, pp 362-379
-
(2005)
Constraint-based Mining and Inductive Databases. European Workshop on Inductive Databases and Constraint Based Mining
, pp. 362-379
-
-
Zaki, M.1
De, N.2
Gao, F.3
Palmerini, P.4
Parimi, N.5
Pathuri, J.6
Phoophakdee, B.7
Urban, J.8
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