-
1
-
-
0001986373
-
Continuous queries over data streams
-
Babu, S., & Widom, J. (2001). Continuous queries over data streams. SIGMOD Record, 30(3), 109-120.
-
(2001)
SIGMOD Record
, vol.30
, Issue.3
, pp. 109-120
-
-
Babu, S.1
Widom, J.2
-
3
-
-
84953806973
-
Scaling clustering algorithms to large databases
-
August New York
-
Bradley, P. S., Fayyad, U. M., & Reina, C. A. (1998, August). Scaling clustering algorithms to large databases. In Proceedings of the Fourth ACM KDD International Conference on Knowledge Discovery and Data Mining (pp. 9-15), New York.
-
(1998)
Proceedings of the Fourth ACM KDD International Conference on Knowledge Discovery and Data Mining
, pp. 9-15
-
-
Bradley, P.S.1
Fayyad, U.M.2
Reina, C.A.3
-
4
-
-
0004016553
-
A review of dimension reduction techniques
-
Department of Computer Science, University of Sheffield
-
Carreira-Perpinan, M. (1996). A review of dimension reduction techniques. In Technique Report, CS-96-09, Department of Computer Science, University of Sheffield.
-
(1996)
Technique Report
, vol.CS-96-09
-
-
Carreira-Perpinan, M.1
-
5
-
-
0029195475
-
On the exponential value of labeled samples
-
Castelli, V., & Cover, T. (1995). On the exponential value of labeled samples. Pattern Recognition Letters, 16(1), 105-111.
-
(1995)
Pattern Recognition Letters
, vol.16
, Issue.1
, pp. 105-111
-
-
Castelli, V.1
Cover, T.2
-
6
-
-
0001662441
-
The relative value of labeled and unlabeled samples in pattern recognition with an unknown mixing parameters
-
Castelli, V., & Cover, T. (1996). The relative value of labeled and unlabeled samples in pattern recognition with an unknown mixing parameters. IEEE Transaction on Information Theory, 42(6), 2102-2117.
-
(1996)
IEEE Transaction on Information Theory
, vol.42
, Issue.6
, pp. 2102-2117
-
-
Castelli, V.1
Cover, T.2
-
7
-
-
84994121221
-
Using taxonomy, discriminants, and signatures for navigating in text databases
-
Athens, Greece
-
Chakrabarti, S., Dom, B., Agrawal, R., & Raghavan, P. (1997). Using taxonomy, discriminants, and signatures for navigating in text databases. In Proceedings of the 23rd Very Large Data Bases Conference (pp. 446-455), Athens, Greece.
-
(1997)
Proceedings of the 23rd Very Large Data Bases Conference
, pp. 446-455
-
-
Chakrabarti, S.1
Dom, B.2
Agrawal, R.3
Raghavan, P.4
-
10
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
Dempster, A., Laird, N., & Rubin, D. (1977). Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society, 39(1),1-38.
-
(1977)
Journal of the Royal Statistical Society
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
11
-
-
0346457323
-
Boat-optimistic decision tree construction
-
Philadelphia, Pennsylvania
-
Gehrke, J., Ganti, V., Ramakrishnan, R., & Loh, W.-Y. (1999). Boat-optimistic decision tree construction. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 169-180) Philadelphia, Pennsylvania.
-
(1999)
Proceedings of the ACM SIGMOD International Conference on Management of Data
, pp. 169-180
-
-
Gehrke, J.1
Ganti, V.2
Ramakrishnan, R.3
Loh, W.-Y.4
-
12
-
-
0000566535
-
Rainforest - A framework for fast decision tree construction of large datasets
-
New York
-
Gehrke, J., Ramakrishnan, R., & Ganti, V. (1998). Rainforest - a framework for fast decision tree construction of large datasets. In Proceedings of the 24th Very Large Data Bases Conference (pp. 416-427), New York.
-
(1998)
Proceedings of the 24th Very Large Data Bases Conference
, pp. 416-427
-
-
Gehrke, J.1
Ramakrishnan, R.2
Ganti, V.3
-
16
-
-
0023331258
-
An introduction to computing with neural nets
-
Lippmann, R. (1987). An introduction to computing with neural nets. IEEE ASSP Magazine, 4(2), 4-22.
-
(1987)
IEEE ASSP Magazine
, vol.4
, Issue.2
, pp. 4-22
-
-
Lippmann, R.1
-
17
-
-
84897674228
-
Sliq: A fast scalable classifier for data mining
-
Avignon, France
-
Mehta, M., Agrawal, R., & Risanen, J. (1996). Sliq: A fast scalable classifier for data mining. In Proceedings of the Fifth International Conference on Extending Database Technology (pp. 18-32), Avignon, France.
-
(1996)
Proceedings of the Fifth International Conference on Extending Database Technology
, pp. 18-32
-
-
Mehta, M.1
Agrawal, R.2
Risanen, J.3
-
18
-
-
0002788893
-
A view of the em algorithm that justifies incremental, sparse, and other variants
-
M. I. Jordan (Ed.). Norwell, Massachusetts: Kluwer Academic Publishers
-
Neal, R., & Hinton, G. (1999). A view of the em algorithm that justifies incremental, sparse, and other variants. In M. I. Jordan (Ed.), Learning in graphical models (pp. 355-368). Norwell, Massachusetts: Kluwer Academic Publishers.
-
(1999)
Learning in Graphical Models
, pp. 355-368
-
-
Neal, R.1
Hinton, G.2
-
19
-
-
0033886806
-
Text classification from labeled and unlabeled documents
-
Nigam, K., Mccallum, A. Thrun, S., & Mitchel, T. (2000). Text classification from labeled and unlabeled documents. Machine Learning, 39(2/3), 103-134.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 103-134
-
-
Nigam, K.1
Mccallum, A.2
Thrun, S.3
Mitchel, T.4
-
21
-
-
33744584654
-
Induction of decision trees
-
Quinlan, J. (1986). Induction of decision trees. Machine Learning, 1, 81-106.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.1
-
23
-
-
0002139432
-
Sprint: A scalable parallel classifier for data mining
-
Bombay, India
-
Shafer, J., Agrawal, R., & Mehta, M. (1996). Sprint: A scalable parallel classifier for data mining. In Proceedings of the 22nd Very Large Data Bases Conference (pp. 544-555), Bombay, India.
-
(1996)
Proceedings of the 22nd Very Large Data Bases Conference
, pp. 544-555
-
-
Shafer, J.1
Agrawal, R.2
Mehta, M.3
-
24
-
-
0028499630
-
The effect of unlabeled samples in reducing the small sample size problem and mitigating the hughes phenomenon
-
Shanhshanhani, B., & Landgrebe, D. (1994). The effect of unlabeled samples in reducing the small sample size problem and mitigating the hughes phenomenon. IEEE Transactions on Geoscience and Remote Sensing, 32(5), 1087-1095.
-
(1994)
IEEE Transactions on Geoscience and Remote Sensing
, vol.32
, Issue.5
, pp. 1087-1095
-
-
Shanhshanhani, B.1
Landgrebe, D.2
-
25
-
-
0034509748
-
Incorporate discriminant analysis with em algorithm in image retrieval
-
New York City, New York
-
Tian, Q., Wu, Y., & Huang, T. S. (2000). Incorporate discriminant analysis with em algorithm in image retrieval. In Proceedings of IEEE International Conference on Multimedia and Expo(I), New York City, New York (pp. 299-302).
-
(2000)
Proceedings of IEEE International Conference on Multimedia and Expo(I)
, pp. 299-302
-
-
Tian, Q.1
Wu, Y.2
Huang, T.S.3
-
26
-
-
0035751912
-
Text classification in a hierarchical mixture model for small training sets
-
Atlanta, Georgia
-
Toutanova, K., Chen, F., Popat, K., & Hifmann, T. (2001). Text classification in a hierarchical mixture model for small training sets. In Proceedings of ACM International Conference on Information and Knowledge Management (pp. 105-112), Atlanta, Georgia.
-
(2001)
Proceedings of ACM International Conference on Information and Knowledge Management
, pp. 105-112
-
-
Toutanova, K.1
Chen, F.2
Popat, K.3
Hifmann, T.4
-
27
-
-
0242540411
-
B-EM: A classifier incorporating bootstrap with em approach for data mining
-
Edmonton, Canada
-
Wu, X., Fan, J., & Subramanian, K. R. (2002). B-EM: A classifier incorporating bootstrap with em approach for data mining. In Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (pp. 670-675), Edmonton, Canada.
-
(2002)
Proceedings of ACM International Conference on Knowledge Discovery and Data Mining
, pp. 670-675
-
-
Wu, X.1
Fan, J.2
Subramanian, K.R.3
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