-
1
-
-
84873199185
-
-
Earl release website
-
Earl release website: http://yellowstone.cs.ucla.edu/wis/
-
-
-
-
2
-
-
84873121706
-
-
Hadoop: Open-source implementation of mapreduce
-
Hadoop: Open-source implementation of mapreduce: http://hadoop.apache.org.
-
-
-
-
3
-
-
79957872898
-
Hyracks: A exible and extensible foundation for data-intensive computing
-
V. Borkar, M. Carey, R. Grover, N. Onose, and R. Vernica. Hyracks: A exible and extensible foundation for data-intensive computing. In ICDE, pages 1151 -1162, 2011.
-
(2011)
ICDE
, pp. 1151-1162
-
-
Borkar, V.1
Carey, M.2
Grover, R.3
Onose, N.4
Vernica, R.5
-
4
-
-
79956351190
-
HaLoop: Effcient iterative data processing on large clusters
-
Y. Bu, B. Howe, M. Balazinska, and M. D. Ernst. HaLoop: Effcient iterative data processing on large clusters. In VLDB, pages 285-296, 2010.
-
(2010)
VLDB
, pp. 285-296
-
-
Bu, Y.1
Howe, B.2
Balazinska, M.3
Ernst, M.D.4
-
5
-
-
3142697062
-
Effective use of block-level sampling in statistics estimation
-
S. Chaudhuri, G. Das, and U. Srivastava. Effective use of block-level sampling in statistics estimation. In SIGMOD, pages 287-298, 2004.
-
(2004)
SIGMOD
, pp. 287-298
-
-
Chaudhuri, S.1
Das, G.2
Srivastava, U.3
-
6
-
-
0242625264
-
A new two-phase sampling based algorithm for discovering association rules
-
B. Chen, P. Haas, and P. Scheuermann. A new two-phase sampling based algorithm for discovering association rules. In SIGKDD, pages 462-468, 2002.
-
(2002)
SIGKDD
, pp. 462-468
-
-
Chen, B.1
Haas, P.2
Scheuermann, P.3
-
7
-
-
84873176683
-
-
Mapreduce online. Technical Report UCB/EECS-2009-136, EECS Department, University of California, Berkeley
-
T. Condie, N. Conway, P. Alvaro, J. M. Hellerstein, K. Elmeleegy, and R. Sears. Mapreduce online. Technical Report UCB/EECS-2009-136, EECS Department, University of California, Berkeley, 2009.
-
(2009)
-
-
Condie, T.1
Conway, N.2
Alvaro, P.3
Hellerstein, J.M.4
Elmeleegy, K.5
Sears, R.6
-
8
-
-
77954799580
-
Online aggregation and continuous query support in mapreduce
-
T. Condie, N. Conway, P. Alvaro, J. M. Hellerstein, J. Gerth, J. Talbot, K. Elmeleegy, and R. Sears. Online aggregation and continuous query support in mapreduce. In SIGMOD, pages 1115-1118, 2010.
-
(2010)
SIGMOD
, pp. 1115-1118
-
-
Condie, T.1
Conway, N.2
Alvaro, P.3
Hellerstein, J.M.4
Gerth, J.5
Talbot, J.6
Elmeleegy, K.7
Sears, R.8
-
9
-
-
84873193663
-
-
Bootstrap tests: How many bootstraps? Working Papers 1036, Queen's University, Department of Economics
-
R. Davidson and J. G. MacKinnon. Bootstrap tests: How many bootstraps? Working Papers 1036, Queen's University, Department of Economics, 2001.
-
(2001)
-
-
Davidson, R.1
MacKinnon, J.G.2
-
10
-
-
33747375485
-
Effcient block sampling strategies for sequential monte carlo methods
-
A. Doucet, M. Briers, and S. Sncal. Effcient block sampling strategies for sequential monte carlo methods. Journal of Computational and Graphical Statistics, 15(3):693-711, 2006.
-
(2006)
Journal of Computational and Graphical Statistics
, vol.15
, Issue.3
, pp. 693-711
-
-
Doucet, A.1
Briers, M.2
Sncal, S.3
-
11
-
-
0002344794
-
Bootstrap methods: Another look at the jackknife
-
B. Efron. Bootstrap methods: Another look at the jackknife. Annals of Statistics, 7(1):1-26, 1979.
-
(1979)
Annals of Statistics
, vol.7
, Issue.1
, pp. 1-26
-
-
Efron, B.1
-
14
-
-
84864210199
-
-
Extending map-reduce for effcient predicate-based sampling
-
R. Grover and M. Carey. Extending map-reduce for effcient predicate-based sampling. In ICDE, 2012.
-
(2012)
ICDE
-
-
Grover, R.1
Carey, M.2
-
16
-
-
80053500227
-
Starffsh: A self-tuning system for big data analytics
-
H. Herodotou, H. Lim, G. Luo, N. Borisov, L. Dong, F. B. Cetin, and S. Babu. Starffsh: A self-tuning system for big data analytics. In CIDR, pages 261-272, 2011.
-
(2011)
CIDR
, pp. 261-272
-
-
Herodotou, H.1
Lim, H.2
Luo, G.3
Borisov, N.4
Dong, L.5
Cetin, F.B.6
Babu, S.7
-
18
-
-
66249121016
-
Double block bootstrap conffdence intervals for dependent data
-
S. M. S. Lee and P. Y. Lai. Double block bootstrap conffdence intervals for dependent data. Biometrika, 96(2):427-443, 2009.
-
(2009)
Biometrika
, vol.96
, Issue.2
, pp. 427-443
-
-
Lee, S.M.S.1
Lai, P.Y.2
-
19
-
-
79959939881
-
A platform for scalable one-pass analytics using mapreduce
-
B. Li, E. Mazur, Y. Diao, A. McGregor, and P. J. Shenoy. A platform for scalable one-pass analytics using mapreduce. In SIGMOD, pages 985-996, 2011.
-
(2011)
SIGMOD
, pp. 985-996
-
-
Li, B.1
Mazur, E.2
Diao, Y.3
McGregor, A.4
Shenoy, P.J.5
-
20
-
-
85032328251
-
Random sampling from database ffles: A survey
-
F. Olken and D. Rotem. Random sampling from database ffles: A survey. In SSDBM, pages 92-111, 1990.
-
(1990)
SSDBM
, pp. 92-111
-
-
Olken, F.1
Rotem, D.2
-
21
-
-
55349148888
-
Pig latin: a not-so-foreign language for data processing
-
C. Olston, B. Reed, U. Srivastava, R. Kumar, and A. Tomkins. Pig latin: a not-so-foreign language for data processing. In SIGMOD, pages 1099-1110, 2008.
-
(2008)
SIGMOD
, pp. 1099-1110
-
-
Olston, C.1
Reed, B.2
Srivastava, U.3
Kumar, R.4
Tomkins, A.5
-
22
-
-
84863769684
-
Online aggregation for large mapreduce jobs
-
N. Pansare, V. R. Borkar, C. Jermaine, and T. Condie. Online aggregation for large mapreduce jobs. PVLDB, 4(11):1135-1145, 2011.
-
(2011)
PVLDB
, vol.4
, Issue.11
, pp. 1135-1145
-
-
Pansare, N.1
Borkar, V.R.2
Jermaine, C.3
Condie, T.4
-
23
-
-
30344452311
-
Interpreting the data: Parallel analysis with sawzall
-
R. Pike, S. Dorward, R. Griesemer, and S. Quinlan. Interpreting the data: Parallel analysis with sawzall. Sci. Program., 13(4):277-298, 2005.
-
(2005)
Sci. Program.
, vol.13
, Issue.4
, pp. 277-298
-
-
Pike, R.1
Dorward, S.2
Griesemer, R.3
Quinlan, S.4
-
24
-
-
29844444248
-
Relational conffdence bounds are easy with the bootstrap
-
A. Pol and C. Jermaine. Relational conffdence bounds are easy with the bootstrap. In SIGMOD, pages 587-598, 2005.
-
(2005)
SIGMOD
, pp. 587-598
-
-
Pol, A.1
Jermaine, C.2
-
25
-
-
60849112285
-
Automatic block-length selection for the dependent bootstrap
-
D. N. Politis and H. White. Automatic block-length selection for the dependent bootstrap. Econometric Reviews, 28(4):372-375, 2009.
-
(2009)
Econometric Reviews
, vol.28
, Issue.4
, pp. 372-375
-
-
Politis, D.N.1
White, H.2
-
26
-
-
41149110050
-
Disk failures in the real world: what does an mttf of 1,000 000 hours mean to you?
-
B. Schroeder and G. A. Gibson. Disk failures in the real world: what does an mttf of 1,000,000 hours mean to you? In USENIX FAST, pages 1-12, 2007.
-
(2007)
USENIX FAST
, pp. 1-12
-
-
Schroeder, B.1
Gibson, G.A.2
-
28
-
-
84873101231
-
A bootstrap approach to making sample-size calculations for resource surveys
-
S. E. Syrjala. A bootstrap approach to making sample-size calculations for resource surveys. In SSC, pages 53-60, 2001.
-
(2001)
SSC
, pp. 53-60
-
-
Syrjala, S.E.1
-
29
-
-
85039670960
-
-
Bootstrapping, jackkniffng and cross validation, reusing your data. Utah University Lecture
-
A. Thomas. Bootstrapping, jackkniffng and cross validation, reusing your data. Utah University Lecture, 2000.
-
(2000)
-
-
Thomas, A.1
-
30
-
-
84868325513
-
-
A. Thusoo, J. S. Sarma, N. Jain, Z. Shao, P. Chakka, S. Anthony, H. Liu, P. Wyckoff, and R. Murthy. Hivea warehousing solution over a map-reduce framework. In VLDB, pages 1626-1629, 2009.
-
(2009)
Hivea warehousing solution over a map-reduce framework. In VLDB
, pp. 1626-1629
-
-
Thusoo, A.1
Sarma, J.S.2
Jain, N.3
Shao, Z.4
Chakka, P.5
Anthony, S.6
Liu, H.7
Wyckoff, P.8
Murthy, R.9
-
31
-
-
71749094178
-
Parallel k-means clustering based on mapreduce
-
W. Zhao, H. Ma, and Q. He. Parallel k-means clustering based on mapreduce. In CloudCom, pages 674-679, 2009.
-
(2009)
In CloudCom
, pp. 674-679
-
-
Zhao, W.1
Ma, H.2
He, Q.3
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