-
1
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C. Burges. A tutorial on support vector machines for pattern recognition. Data mining and knowledge discovery, 2:121-167, 1998.
-
(1998)
Data mining and knowledge discovery
, vol.2
, pp. 121-167
-
-
Burges, C.1
-
2
-
-
0004206842
-
Programming with Data
-
Springer Verlag
-
J. M. Chambers. Programming with Data. Springer Verlag, 1998.
-
(1998)
-
-
Chambers, J.M.1
-
3
-
-
56049109090
-
Map-Reduce for Machine Learning on Multicore
-
MIT Press
-
C. T. Chu, S. K. Kim, Y. A. Lin, Y. Yu, G. R. Bradski, A. Y. Ng, and K. Olukotun. Map-Reduce for Machine Learning on Multicore. In NIPS '06: Proc. of Neural Information Processing Systems, pages 281-288. MIT Press, 2006.
-
(2006)
NIPS '06: Proc. of Neural Information Processing Systems
, pp. 281-288
-
-
Chu, C.T.1
Kim, S.K.2
Lin, Y.A.3
Yu, Y.4
Bradski, G.R.5
Ng, A.Y.6
Olukotun, K.7
-
4
-
-
84868307166
-
MAD skills: new analysis practices for big data
-
J. Cohen, B. Dolan, M. Dunlap, J. M. Hellerstein, and C. Welton. MAD skills: new analysis practices for big data. In VLDB '09: Proc. of the VLDB Endowment, volume 2, pages 1418-1492. VLDB Endowment, 2009.
-
VLDB '09: Proc. of the VLDB Endowment, volume 2, pages 1418-1492. VLDB Endowment, 2009.
-
-
Cohen, J.1
Dolan, B.2
Dunlap, M.3
Hellerstein, J.M.4
Welton, C.5
-
5
-
-
77954751910
-
Ricardo: Integrating R and Hadoop
-
New York, NY, USA
-
S. Das, Y. Sismanis, K. S. Beyer, R. Gemulla, P. J. Haas, and J. McPherson. Ricardo: Integrating R and Hadoop. In SIGMOD '10: Proc. of the SIGMOD international conference on Management of data, pages 987-998, New York, NY, USA, 2010.
-
(2010)
SIGMOD '10: Proc. of the SIGMOD nternational conference on Management of data
, pp. 987-998
-
-
Das, S.1
Sismanis, Y.2
Beyer, K.S.3
Gemulla, R.4
Haas, P.J.5
McPherson, J.6
-
6
-
-
85030321143
-
MapReduce: simplified data processing on large clusters
-
Berkeley, CA, USA
-
J. Dean and S. Ghemawat. MapReduce: simplified data processing on large clusters. In OSDI '04: Proc. of the conference on Symposium on Opearting Systems Design and Implementation, page 10, Berkeley, CA, USA, 2004.
-
(2004)
OSDI '04: Proc. of the conference on Symposium on Opearting Systems Design and Implementation
, pp. 10
-
-
Dean, J.1
Ghemawat, S.2
-
7
-
-
78649934709
-
UCI machine learning repository
-
A. Frank and A. Asuncion. UCI machine learning repository. http://archive.ics.uci.edu/ml/, 2010.
-
(2010)
-
-
Frank, A.1
Asuncion, A.2
-
8
-
-
84863753024
-
Hybride Datenbankarchitekturen am Beispiel der neuen SAP In-Memory-Technologie
-
F. Färber, B. Jäcksch, C. Lemke, P. Große, and W. Lehner. Hybride Datenbankarchitekturen am Beispiel der neuen SAP In-Memory-Technologie. Datenbank-Spektrum, 10:81-92, 2010.
-
(2010)
Datenbank-Spektrum
, vol.10
, pp. 81-92
-
-
Färber, F.1
Jäcksch, B.2
Lemke, C.3
Große, P.4
Lehner, W.5
-
9
-
-
84898956286
-
Parallel support vector machines: The Cascade SVM
-
H. Graf, E. Cosatto, L. Bottou, I. Dourdanovic, and V. Vapnik. Parallel support vector machines: The Cascade SVM. Advances in neural information processing systems, 17:521-528, 2005.
-
(2005)
Advances in neural information processing systems
, vol.17
, pp. 521-528
-
-
Graf, H.1
Cosatto, E.2
Bottou, L.3
Dourdanovic, I.4
Vapnik, V.5
-
10
-
-
84863748120
-
Computing environment for the statistical analysis of large and complex data
-
PhD thesis, Purdue University
-
S. Guha. Computing environment for the statistical analysis of large and complex data. PhD thesis, Purdue University, 2010.
-
(2010)
-
-
Guha, S.1
-
11
-
-
57149130961
-
MCDB: a monte carlo approach to managing uncertain data
-
R. Jampani, F. Xu, M. Wu, L. Perez, C. Jermaine, and P. Haas. MCDB: a monte carlo approach to managing uncertain data. In SIGMOD '08: Proc. of the SIGMOD international conference on Management of data, pages 687-700, 2008.
-
(2008)
SIGMOD '08: Proc. of the SIGMOD international conference on Management of data
, pp. 687-700
-
-
Jampani, R.1
Xu, F.2
Wu, M.3
Perez, L.4
Jermaine, C.5
Haas, P.6
-
13
-
-
11244352554
-
kernlab - An S4 Package for Kernel Methods
-
A. Karatzoglou, A. Smola, K. Hornik, and A. Zeileis. kernlab - An S4 Package for Kernel Methods in R. Journal of Statistical Software, 11:1-20, 2004.
-
(2004)
R. Journal of Statistical Software
, vol.11
, pp. 1-20
-
-
Karatzoglou, A.1
Smola, A.2
Hornik, K.3
Zeileis, A.4
-
14
-
-
79952579920
-
Robust Distributed Top-N Frequent Pattern Mining Using the SAP BW Accelerator
-
T. Legler, W. Lehner, J. Schaffner, and J. Krüger. Robust Distributed Top-N Frequent Pattern Mining Using the SAP BW Accelerator. In VLDB '09: Proc. of the VLDB Endowment, volume 2, pages 1438-1449, 2009.
-
(2009)
VLDB '09: Proc. of the VLDB Endowment
, vol.2
, pp. 1438-1449
-
-
Legler, T.1
Lehner, W.2
Schaffner, J.3
Krüger, J.4
-
16
-
-
79960932168
-
In-Memory Data Management: An Inflection Point for Enterprise Applications
-
Springer, Berlin
-
H. Plattner and A. Zeier. In-Memory Data Management: An Inflection Point for Enterprise Applications. Springer, Berlin, 2011.
-
(2011)
-
-
Plattner, H.1
Zeier, A.2
-
19
-
-
69849112020
-
State of the art parallel computing with
-
M. Schmidberger, M. Morgan, D. Eddelbuettel, H. Yu, L. Tierney, and U. Mansmann. State of the art parallel computing with R. Journal of Statistical Software, 31:1-27, 2009.
-
(2009)
R. Journal of Statistical Software
, vol.31
, pp. 1-27
-
-
Schmidberger, M.1
Morgan, M.2
Eddelbuettel, D.3
Yu, H.4
Tierney, L.5
Mansmann, U.6
-
20
-
-
84889746130
-
Requirements for Science Data Bases and SciDB
-
M. Stonebraker, J. Becla, D. Dewitt, K. T. Lim, D. Maier, O. Ratzesberger, and S. Zdonik. Requirements for Science Data Bases and SciDB. In CIDR '09: Proc. of the conference on Innovative Data Systems Research, 2009.
-
(2009)
CIDR '09: Proc. of the conference on Innovative Data Systems Research
-
-
Stonebraker, M.1
Becla, J.2
Dewitt, D.3
Lim, K.T.4
Maier, D.5
Ratzesberger, O.6
Zdonik, S.7
-
21
-
-
79951480123
-
-
R. D. C. Team. R Foundation for Statistical Computing, Vienna, Austria
-
R. D. C. Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2010.
-
(2010)
R: A Language and Environment for Statistical Computing.
-
-
|