-
1
-
-
0036688074
-
-
I. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, A survey on sensor networks, in: IEEE Communications Magazine, 2002, pp. 102-114.
-
-
-
-
2
-
-
28444439844
-
The solar radiation and climate experiment (SORCE) mission for the NASA Earth observing system (EOS)
-
Anderson D.E., and Cahalan R.F. The solar radiation and climate experiment (SORCE) mission for the NASA Earth observing system (EOS). Sol. Phys. 230 (2005) 3-6
-
(2005)
Sol. Phys.
, vol.230
, pp. 3-6
-
-
Anderson, D.E.1
Cahalan, R.F.2
-
3
-
-
33947685658
-
Clustering distributed data streams in peer-to-peer environments
-
Elsevier, Amsterdam
-
Bandyopadhyay S., Gianella C., Maulik U., Kargupta H., Liu K., and Datta S. Clustering distributed data streams in peer-to-peer environments. Special Issue on Data Stream Mining in the Information Sciences Journal (2005), Elsevier, Amsterdam
-
(2005)
Special Issue on Data Stream Mining in the Information Sciences Journal
-
-
Bandyopadhyay, S.1
Gianella, C.2
Maulik, U.3
Kargupta, H.4
Liu, K.5
Datta, S.6
-
4
-
-
36649009830
-
-
C.L. Blake, D.J. Newman, S. Hettich, C.J. Merz, UCI repository of machine learning databases, University of California, Irvine, Dept. of Information and Computer Sciences (online).
-
-
-
-
5
-
-
36649032563
-
-
P.K. Chan, S.J. Stolfo, Toward parallel and distributed learning by meta-learning, in: Working Notes AAAI Workshop, Knowledge Discovery in Databases, 1993, pp. 227-240.
-
-
-
-
6
-
-
36649021858
-
-
P.K. Chan, S.J. Stolfo, A comparative evaluation of voting and meta-learning on partitioned data, in: International Conference on Machine Learning, 1995, pp. 90-98.
-
-
-
-
8
-
-
36649021431
-
-
P.K. Chan, S.J. Stolfo, Scaling learning by meta-learning over disjoint and partially replicated data, in: Proceedings of Ninth Florida AI Research Symposium, 1996, pp. 151-155.
-
-
-
-
9
-
-
36649004403
-
-
P.K. Chan, S.J. Stolfo, Sharing learned models among remote database partitions by local meta-learning, in: Knowledge Discovery and Data Mining, 1996, pp. 2-7.
-
-
-
-
10
-
-
36649023159
-
-
R. Chen, K. Sivakumar, H. Kargupta, Learning Bayesian network structure from distributed data, in: Proceedings of the SIAM International Data Mining Conference, San Francisco, USA, 2003.
-
-
-
-
11
-
-
0031269184
-
On the optimality of the simple Bayesian classifier under zero-one loss
-
Domingos P., and Pazzani M.J. On the optimality of the simple Bayesian classifier under zero-one loss. Mach. Learning 29 2&3 (1997) 103-130
-
(1997)
Mach. Learning
, vol.29
, Issue.2-3
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.J.2
-
12
-
-
36649019819
-
-
Y. Guo, S. Rüger, J. Sutiwaraphun, J. Forbes-Millott, Meta-learning for parallel data mining, in: Proceedings of the Seventh Parallel Computing Workshop, 1997.
-
-
-
-
13
-
-
36649027510
-
-
M. Hall, G. Holmes, Benchmarking attribute selection techniques for data mining, Technical report, Department of Computer Science, The University of Waikato, Hamilton, New Zealand, 2000.
-
-
-
-
15
-
-
0346250708
-
Distributed multivariate regression using wavelet-based collective data mining
-
Hershberger D., and Kargupta H. Distributed multivariate regression using wavelet-based collective data mining. J. Parallel Distributed Comput. 61 3 (2001) 372-400
-
(2001)
J. Parallel Distributed Comput.
, vol.61
, Issue.3
, pp. 372-400
-
-
Hershberger, D.1
Kargupta, H.2
-
16
-
-
0035286964
-
Gene expression and fast construction of distributed evolutionary representation
-
Kargupta H. Gene expression and fast construction of distributed evolutionary representation. Evol. Comput. 9 (2000)
-
(2000)
Evol. Comput.
, vol.9
-
-
Kargupta, H.1
-
17
-
-
36649022284
-
-
H. Kargupta, R. Bhargava, K. Liu, M. Powers, P. Blair, S. Bushra, J. Dull, K. Sarkar, M. Klein, M. Vasa, D. Handy, VEDAS: a mobile and distributed data stream mining system for real-time vehicle monitoring, in: SDM, 2004.
-
-
-
-
18
-
-
85132267044
-
Distributed clustering using collective principal component analysis
-
Kargupta H., Huang W., Sivakumar K., and Johnson E.L. Distributed clustering using collective principal component analysis. Knowledge Inf. Syst. 3 4 (2001) 422-448
-
(2001)
Knowledge Inf. Syst.
, vol.3
, Issue.4
, pp. 422-448
-
-
Kargupta, H.1
Huang, W.2
Sivakumar, K.3
Johnson, E.L.4
-
19
-
-
0001282382
-
Collective data mining: a new perspective toward distributed data mining
-
Kargupta H., and Chan P. (Eds), AAAI/MIT Press
-
Kargupta H., Park B., Hershberger D., and Johnson E. Collective data mining: a new perspective toward distributed data mining. In: Kargupta H., and Chan P. (Eds). Advances in Distributed Data Mining (1999), AAAI/MIT Press
-
(1999)
Advances in Distributed Data Mining
-
-
Kargupta, H.1
Park, B.2
Hershberger, D.3
Johnson, E.4
-
20
-
-
36649013728
-
-
H. Kargupta, B. Park, E. Johnson, E. Sanseverino, L. Silvestre, D. Hershberger, Collective data mining from distributed vertically partitioned feature space, in: Workshop on Distributed Data Mining, International Conference on Knowledge Discovery and Data Mining, 1998.
-
-
-
-
21
-
-
0036986465
-
-
A. Mainwaring, J. Polastre, R. Szewczyk, J. Anderson, Wireless sensor networks for habitat monitoring, in: ACM International Workshop on Wireless Sensor Networks and Applications (WSNA'02), 2002.
-
-
-
-
22
-
-
36649035575
-
-
S.M. McConnell, D.B. Skillicorn, Building predictors from vertically distributed data, in: CASCON 2004, October 2004, pp. 150-162.
-
-
-
-
23
-
-
36649007728
-
-
S.M. McConnell, D.B. Skillicorn, A distributed approach for prediction in sensor networks, in: Workshop on Sensor Networks, SIAM International Conference on Data Mining, 2005.
-
-
-
-
24
-
-
0038614486
-
Automated star/galaxy discrimination with neural networks
-
Odewahn S., Stockwell E., Pennington R., Humphreys R., and Zumach W. Automated star/galaxy discrimination with neural networks. Astron. J. 103 (1992) 318-331
-
(1992)
Astron. J.
, vol.103
, pp. 318-331
-
-
Odewahn, S.1
Stockwell, E.2
Pennington, R.3
Humphreys, R.4
Zumach, W.5
-
25
-
-
36649015234
-
-
E.Y. Soong, Ranking and selecting attributes using matrix decompositions, Master's Thesis, School of Computing, Queen's University, 2003.
-
-
-
-
26
-
-
36649026548
-
-
G. Tsoumakas, I. Vlahavas, Fuzzy meta-learning: preliminary results, in: Proceedings of the UK Workshop on Computational Intelligence (UKCI '01), 2001, pp. 43-48.
-
-
-
-
28
-
-
36648999663
-
-
D. Wolpert, Stacked generalization, Technical report LA-UR-90-3460, Complex Systems Group, Theoretical Divison, and Center for Non-linear Studies, Los Alamos, NM, 1990.
-
-
-
-
29
-
-
84957881695
-
-
B. Wooley, S. Bridges, J. Hodges, A. Skjellum, Scaling the data mining step in knowledge discovery using oceanographic data, in: Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 2000, pp. 85-92.
-
-
-
-
30
-
-
36649016084
-
-
B. Wooley, Y. Dandass, S. Bridges, J. Hodges, A. Skjellum, Scalable knowledge discovery from oceanographic data, Department of Computer Science, Mississippi State University.
-
-
-
|