-
1
-
-
78349238131
-
A distributed approach to detect outliers in very large data sets
-
F. Angiulli, S. Basta, S. Lodi, and C. Sartori. A Distributed Approach to Detect Outliers in Very Large Data Sets. In Proocedings of Euro-Par'10, pages 329-340, 2010.
-
(2010)
Proocedings of Euro-Par'10
, pp. 329-340
-
-
Angiulli, F.1
Basta, S.2
Lodi, S.3
Sartori, C.4
-
2
-
-
67149118905
-
DOLPHIN: An efficient algorithm for mining distance-based outliers in very large datasets
-
4:1-4:57
-
F. Angiulli and F. Fassetti. DOLPHIN: An Efficient Algorithm for Mining Distance-based Outliers in Very Large Datasets. ACM TKDD, 3:4:1-4:57, 2009.
-
(2009)
ACM TKDD
, vol.3
-
-
Angiulli, F.1
Fassetti, F.2
-
3
-
-
79957798213
-
Fast outlier detection in high dimensional spaces
-
F. Angiulli and C. Pizzuti. Fast Outlier Detection in High Dimensional Spaces. In Proceedings of PKDD'02, pages 15-26, 2002.
-
(2002)
Proceedings of PKDD'02
, pp. 15-26
-
-
Angiulli, F.1
Pizzuti, C.2
-
4
-
-
77952380096
-
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
-
S. Bay and M. Schwabacher. Mining distance-based outliers in near linear time with randomization and a simple pruning rule. In Proceedings of SIGKDD'03, pages 29-38, 2003.
-
(2003)
Proceedings of SIGKDD'03
, pp. 29-38
-
-
Bay, S.1
Schwabacher, M.2
-
5
-
-
0016557674
-
Multidimensional binary search trees used for associative searching
-
J. Bentley. Multidimensional binary search trees used for associative searching. Commun. ACM, 18:509-517, 1975.
-
(1975)
Commun. ACM
, vol.18
, pp. 509-517
-
-
Bentley, J.1
-
6
-
-
0001802606
-
The X-tree : An index structure for high-dimensional data
-
S. Berchtold, D. Keim, and H. Kriegel. The X-tree : An Index Structure for High-Dimensional Data. In Proceedings of VLDB'96, pages 28-39, 1996.
-
(1996)
Proceedings of VLDB'96
, pp. 28-39
-
-
Berchtold, S.1
Keim, D.2
Kriegel, H.3
-
7
-
-
0039253819
-
LOF: Identifying density-based local outliers
-
M. Breunig, H. Kriegel, R. Ng, and J. Sander. LOF: Identifying Density-based Local Outliers. In Proceedings of SIGMOD'00, pages 93-104, 2000.
-
(2000)
Proceedings of SIGMOD'00
, pp. 93-104
-
-
Breunig, M.1
Kriegel, H.2
Ng, R.3
Sander, J.4
-
9
-
-
42749086305
-
Fast mining of distance-based outliers in high-dimensional datasets
-
A. Ghoting, S. Parthasarathy, and M. Otey. Fast mining of distance-based outliers in high-dimensional datasets. DMKD, 16:349-364, 2008.
-
(2008)
DMKD
, vol.16
, pp. 349-364
-
-
Ghoting, A.1
Parthasarathy, S.2
Otey, M.3
-
11
-
-
0036644801
-
Parallel mining of outliers in large database
-
DOI 10.1023/A:1015608814486
-
E. Hung and D. Cheung. Parallel Mining of Outliers in Large Database. Distrib. Parallel Databases, 12:5-26, 2002. (Pubitemid 34720972)
-
(2002)
Distributed and Parallel Databases
, vol.12
, Issue.1
, pp. 5-26
-
-
Hung, E.1
Cheung, D.W.2
-
12
-
-
0002948319
-
Algorithms for mining distance-based outliers in large datasets
-
E. Knorr and R. Ng. Algorithms for Mining Distance-Based Outliers in Large Datasets. In Proceedings of VLDB'98, pages 392-403, 1998.
-
(1998)
Proceedings of VLDB'98
, pp. 392-403
-
-
Knorr, E.1
Ng, R.2
-
13
-
-
34548570503
-
Parallel algorithms for distance-based and density-based outliers
-
DOI 10.1109/ICDM.2005.116, 1565768, Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005
-
E. Lozano and E. Acuna. Parallel Algorithms for Distance-Based and Density-Based Outliers. In Proceedings of ICDM'05, pages 729-732, 2005. (Pubitemid 47385782)
-
(2005)
Proceedings - IEEE International Conference on Data Mining, ICDM
, pp. 729-732
-
-
Lozano, E.1
Acuna, E.2
-
14
-
-
33646553013
-
Fast distributed outlier detection in mixed-attribute data sets
-
M. Otey, A. Ghoting, and S. Parthasarathy. Fast Distributed Outlier Detection in Mixed-Attribute Data Sets. DMKD, 12:203-228, 2006.
-
(2006)
DMKD
, vol.12
, pp. 203-228
-
-
Otey, M.1
Ghoting, A.2
Parthasarathy, S.3
-
15
-
-
0039845384
-
Efficient algorithms for mining outliers from large data sets
-
S. Ramaswamy, R. Rastogi, and K. Shim. Efficient Algorithms for Mining Outliers from Large Data Sets. In Proceedings of SIGMOD'00, pages 427-438, 2000.
-
(2000)
Proceedings of SIGMOD'00
, pp. 427-438
-
-
Ramaswamy, S.1
Rastogi, R.2
Shim, K.3
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