-
1
-
-
0038969998
-
Outlier detection for high dimensional data
-
Aggarwal, C.C., Philip, S.Y.: Outlier detection for high dimensional data. ACM Sigmod Record 30(2) (2001)
-
(2001)
ACM Sigmod Record
, vol.30
, Issue.2
-
-
Aggarwal, C.C.1
Philip, S.Y.2
-
2
-
-
7544223741
-
A survey of outlier detection methodologies
-
Hodge, V.J., Austin, J.: A survey of outlier detection methodologies. Artificial Intelligence Review 22(2), 85-126 (2004)
-
(2004)
Artificial Intelligence Review
, vol.22
, Issue.2
, pp. 85-126
-
-
Hodge, V.J.1
Austin, J.2
-
3
-
-
25844450147
-
Outlier detection algorithms in data mining systems
-
Petrovskiy, M.I.: Outlier detection algorithms in data mining systems. Programming and Computer Software 29(4), 228-237 (2003)
-
(2003)
Programming and Computer Software
, vol.29
, Issue.4
, pp. 228-237
-
-
Petrovskiy, M.I.1
-
4
-
-
0003203996
-
A Unified Notion of Outliers: Properties and Computation
-
Knorr, E.M., Raymond, T.N.: A Unified Notion of Outliers: Properties and Computation. In: KDD (1997)
-
(1997)
KDD
-
-
Knorr, E.M.1
Raymond, T.N.2
-
7
-
-
84961297619
-
Mining the knowledge mine
-
Sattar, A. (ed.). LNCS, Springer, Heidelberg
-
Williams, G.J., Zhexue, H.: Mining the knowledge mine. In: Sattar, A. (ed.) Canadian AI 1997. LNCS, vol. 1342, pp. 340-348. Springer, Heidelberg (1997)
-
(1997)
Canadian AI 1997
, vol.1342
, pp. 340-348
-
-
Williams, G.J.1
Zhexue, H.2
-
8
-
-
0034133513
-
Distance-based outliers: Algorithms and applications
-
Knorr, E.M., Raymond, T.N., Tucakov, V.: Distance-based outliers: algorithms and applications. The International Journal on Very Large Data Bases 8(3-4), 237-253 (2000)
-
(2000)
The International Journal on Very Large Data Bases
, vol.8
, Issue.3-4
, pp. 237-253
-
-
Knorr, E.M.1
Raymond, T.N.2
Tucakov, V.3
-
10
-
-
0039253819
-
LOF: Identifying density-based local outliers
-
Breunig, M.M., et al.: LOF: identifying density-based local outliers. ACM Sigmod Record 29(2) (2000)
-
(2000)
ACM Sigmod Record
, vol.29
, Issue.2
-
-
Breunig, M.M.1
-
12
-
-
84864859588
-
Outlier detection using replicator neural networks
-
Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.). LNCS, Springer, Heidelberg
-
Hawkins, S., He, H., Williams, G.J., Baxter, R.A.: Outlier detection using replicator neural networks. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.) DaWaK 2002. LNCS, vol. 2454, pp. 170-180. Springer, Heidelberg (2002)
-
(2002)
DaWaK 2002
, vol.2454
, pp. 170-180
-
-
Hawkins, S.1
He, H.2
Williams, G.J.3
Baxter, R.A.4
-
15
-
-
0003136237
-
Efficient and Effective Clustering Methods for Spatial Data Mining
-
Raymond, T.N., Han, J.: Efficient and Effective Clustering Methods for Spatial Data Mining. In: Proc. of. (1994)
-
(1994)
Proc. of
-
-
Raymond, T.N.1
Han, J.2
-
16
-
-
0039845384
-
Efficient algorithms for mining outliers from large data sets
-
Ramaswamy, S., Rastogi, R., Shim, R.: Efficient algorithms for mining outliers from large data sets. ACM SIGMOD Record 29(2) (2000)
-
(2000)
ACM SIGMOD Record
, vol.29
, Issue.2
-
-
Ramaswamy, S.1
Rastogi, R.2
Shim, R.3
-
17
-
-
2442458278
-
Tracking Clusters in Evolving Data Sets
-
Barbara, D., Chen, P.: Tracking Clusters in Evolving Data Sets. In: FLAIRS Conference (2001)
-
(2001)
FLAIRS Conference
-
-
Barbara, D.1
Chen, P.2
-
19
-
-
19644370395
-
The treatment of missing values and its effect on classifier accuracy
-
Springer, Heidelberg
-
Acuna, E., Rodriguez, C.: The treatment of missing values and its effect on classifier accuracy. In: Classification, Clustering, and Data Mining Applications, pp. 639-647. Springer, Heidelberg (2004)
-
(2004)
Classification, Clustering, and Data Mining Applications
, pp. 639-647
-
-
Acuna, E.1
Rodriguez, C.2
-
20
-
-
0142120485
-
Detecting pattern-based outliers
-
Hu, T., Sung, S.Y.: Detecting pattern-based outliers. Pattern Recognition Letters 24(16), 3059-3068 (2003)
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.16
, pp. 3059-3068
-
-
Hu, T.1
Sung, S.Y.2
-
23
-
-
0032638628
-
Least Squares Support Vector Machine Classifiers
-
Suykens, J.A.K., Vandewalle, J.: Least Squares Support Vector Machine Classifiers. Neural Processing Letters 9(3), 293-300 (1999)
-
(1999)
Neural Processing Letters
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
24
-
-
0041382385
-
-
Statistics Department University of California, Berkeley, CA 94720
-
Breiman, L.: Random Forests, Statistics Department University of California, Berkeley, CA 94720
-
Random Forests
-
-
Breiman, L.1
|