-
2
-
-
84861024811
-
Visual evaluation of outlier detection models
-
E. Achtert, H.-P. Kriegel, L. Reichert, E. Schubert, R. Wojdanowski, and A. Zimek. Visual evaluation of outlier detection models. In Proc. DASFAA, 2010.
-
(2010)
Proc. DASFAA
-
-
Achtert, E.1
Kriegel, H.-P.2
Reichert, L.3
Schubert, E.4
Wojdanowski, R.5
Zimek, A.6
-
3
-
-
79957798213
-
Fast outlier detection in high dimensional spaces
-
F. Angiulli and C. Pizzuti. Fast outlier detection in high dimensional spaces. In Proc. PKDD, 2002.
-
(2002)
Proc. PKDD
-
-
Angiulli, F.1
Pizzuti, C.2
-
4
-
-
85039571873
-
A linear method for deviation detection in large databases
-
A. Arning, R. Agrawal, and P. Raghavan. A linear method for deviation detection in large databases. In Proc. KDD, 1996.
-
(1996)
Proc. KDD
-
-
Arning, A.1
Agrawal, R.2
Raghavan, P.3
-
7
-
-
27144531570
-
A study of the behavior of several methods for balancing machine learning training data
-
G. E. A. P. A. Batista, R. C. Prati, and M. C. Monard. A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor., 6(1):20-29, 2004.
-
(2004)
SIGKDD Explor.
, vol.6
, Issue.1
, pp. 20-29
-
-
Batista, G.E.A.P.A.1
Prati, R.C.2
Monard, M.C.3
-
8
-
-
77952380096
-
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
-
S. D. Bay and M. Schwabacher. Mining distance-based outliers in near linear time with randomization and a simple pruning rule. In Proc. KDD, 2003.
-
(2003)
Proc. KDD
-
-
Bay, S.D.1
Schwabacher, M.2
-
10
-
-
0003010182
-
Verification of forecasts expressed in terms of probability
-
G. W. Brier. Verification of forecasts expressed in terms of probability. Monthly Weather Review, 78(1):1-3, 1950.
-
(1950)
Monthly Weather Review
, vol.78
, Issue.1
, pp. 1-3
-
-
Brier, G.W.1
-
11
-
-
50549101751
-
Automatically countering imbalance and its empirical relationship to cost
-
N. V. Chawla, D. A. Cieslak, L. O. Hall, and A. Joshi. Automatically countering imbalance and its empirical relationship to cost. Data Min. Knowl. Disc., 17(2):225-252, 2008.
-
(2008)
Data Min. Knowl. Disc.
, vol.17
, Issue.2
, pp. 225-252
-
-
Chawla, N.V.1
Cieslak, D.A.2
Hall, L.O.3
Joshi, A.4
-
12
-
-
79951739637
-
Finding local anomalies in very high dimensional space
-
T. de Vries, S. Chawla, and M. E. Houle. Finding local anomalies in very high dimensional space. In Proc. ICDM, 2010.
-
(2010)
Proc. ICDM
-
-
De Vries, T.1
Chawla, S.2
Houle, M.E.3
-
13
-
-
0002345034
-
The comparison and evaluation of forecasters
-
M. DeGroot and S. E. Fienberg. The comparison and evaluation of forecasters. The Statistician, 32(1/2):12-22, 1983.
-
(1983)
The Statistician
, vol.32
, Issue.1-2
, pp. 12-22
-
-
DeGroot, M.1
Fienberg, S.E.2
-
14
-
-
84880130376
-
Improving the robustness to outliers of mixtures of probabilistic PCAs
-
N. Delannay, C. Archambeau, and M. Verleysen. Improving the robustness to outliers of mixtures of probabilistic PCAs. In Proc. PAKDD, 2008.
-
(2008)
Proc. PAKDD
-
-
Delannay, N.1
Archambeau, C.2
Verleysen, M.3
-
15
-
-
0002106691
-
MetaCost: A general method for making classifiers cost-sensitive
-
P. Domingos. MetaCost: a general method for making classifiers cost-sensitive. In Proc. KDD, 1999.
-
(1999)
Proc. KDD
-
-
Domingos, P.1
-
16
-
-
68749117876
-
A nonparametric outlier detection for efficiently discovering top-N outliers from engineering data
-
H. Fan, O. R. Zaïane, A. Foss, and J. Wu. A nonparametric outlier detection for efficiently discovering top-N outliers from engineering data. In Proc. PAKDD, 2006.
-
(2006)
Proc. PAKDD
-
-
Fan, H.1
Zaïane, O.R.2
Foss, A.3
Wu, J.4
-
17
-
-
78650465487
-
Converting output scores from outlier detection algorithms into probability estimates
-
J. Gao and P.-N. Tan. Converting output scores from outlier detection algorithms into probability estimates. In Proc. ICDM, 2006.
-
(2006)
Proc. ICDM
-
-
Gao, J.1
Tan, P.-N.2
-
18
-
-
4644223451
-
The amsterdam library of object images
-
J. M. Geusebroek, G. J. Burghouts, and A. Smeulders. The Amsterdam Library of Object Images. Int. J. Computer Vision, 61(1):103-112, 2005.
-
(2005)
Int. J. Computer Vision
, vol.61
, Issue.1
, pp. 103-112
-
-
Geusebroek, J.M.1
Burghouts, G.J.2
Smeulders, A.3
-
19
-
-
0344513198
-
Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
-
J. Hardin and D. M. Rocke. Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator. Comput. Stat. and Data Anal., 44(4):625-638, 2004.
-
(2004)
Comput. Stat. and Data Anal.
, vol.44
, Issue.4
, pp. 625-638
-
-
Hardin, J.1
Rocke, D.M.2
-
21
-
-
33845536164
-
The class imbalance problem: A systematic study
-
N. Japkowicz and S. Stephen. The class imbalance problem: A systematic study. Intelligent Data Analysis, 6:429-449, 2002.
-
(2002)
Intelligent Data Analysis
, vol.6
, pp. 429-449
-
-
Japkowicz, N.1
Stephen, S.2
-
22
-
-
0035788909
-
Mining top-n local outliers in large databases
-
W. Jin, A. Tung, and J. Han. Mining top-n local outliers in large databases. In Proc. KDD, 2001.
-
(2001)
Proc. KDD
-
-
Jin, W.1
Tung, A.2
Han, J.3
-
23
-
-
40749105193
-
Ranking outliers using symmetric neighborhood relationship
-
W. Jin, A. K. H. Tung, J. Han, and W. Wang. Ranking outliers using symmetric neighborhood relationship. In Proc. PAKDD, 2006.
-
(2006)
Proc. PAKDD
-
-
Jin, W.1
Tung, A.K.H.2
Han, J.3
Wang, W.4
-
24
-
-
27144540575
-
Class imbalances versus small disjuncts
-
T. Jo and N. Japkowicz. Class imbalances versus small disjuncts. SIGKDD Explor., 6(1):40-49, 2004.
-
(2004)
SIGKDD Explor.
, vol.6
, Issue.1
, pp. 40-49
-
-
Jo, T.1
Japkowicz, N.2
-
25
-
-
84977797978
-
Fast computation of 2-dimensional depth contours
-
T. Johnson, I. Kwok, and R. Ng. Fast computation of 2-dimensional depth contours. In Proc. KDD, 1998.
-
(1998)
Proc. KDD
-
-
Johnson, T.1
Kwok, I.2
Ng, R.3
-
26
-
-
51649085353
-
Evaluating boosting algorithms to classify rare classes: Comparison and improvements
-
M. V. Joshi, V. Kumar, and R. Agarwal. Evaluating boosting algorithms to classify rare classes: Comparison and improvements. In Proc. ICDM, 2001.
-
(2001)
Proc. ICDM
-
-
Joshi, M.V.1
Kumar, V.2
Agarwal, R.3
-
27
-
-
85170286889
-
A unified notion of outliers: Properties and computation
-
E. M. Knorr and R. T. Ng. A unified notion of outliers: Properties and computation. In Proc. KDD, 1997.
-
(1997)
Proc. KDD
-
-
Knorr, E.M.1
Ng, R.T.2
-
28
-
-
0002948319
-
Algorithms for mining distance-based outliers in large datasets
-
E. M. Knorr and R. T. Ng. Algorithms for mining distance-based outliers in large datasets. In Proc. VLDB, 1998.
-
(1998)
Proc. VLDB
-
-
Knorr, E.M.1
Ng, R.T.2
-
29
-
-
0141613770
-
Efficient biased sampling for approximate clustering and outlier detection in large datasets
-
G. Kollios, D. Gunopulos, N. Koudas, and S. Berchthold. Efficient biased sampling for approximate clustering and outlier detection in large datasets. IEEE TKDE, 15(5):1170-1187, 2003.
-
(2003)
IEEE TKDE
, vol.15
, Issue.5
, pp. 1170-1187
-
-
Kollios, G.1
Gunopulos, D.2
Koudas, N.3
Berchthold, S.4
-
30
-
-
84857999627
-
A general framework for increasing the robustness of PCA-based correlation clustering algorithms
-
H.-P. Kriegel, P. Kröger, E. Schubert, and A. Zimek. A general framework for increasing the robustness of PCA-based correlation clustering algorithms. In Proc. SSDBM, 2008.
-
(2008)
Proc. SSDBM
-
-
Kriegel, H.-P.1
Kröger, P.2
Schubert, E.3
Zimek, A.4
-
33
-
-
65449145220
-
Angle-based outlier detection in high-dimensional data
-
H.-P. Kriegel, M. Schubert, and A. Zimek. Angle-based outlier detection in high-dimensional data. In Proc. KDD, 2008.
-
(2008)
Proc. KDD
-
-
Kriegel, H.-P.1
Schubert, M.2
Zimek, A.3
-
34
-
-
32344440279
-
Feature bagging for outlier detection
-
A. Lazarevic and V. Kumar. Feature bagging for outlier detection. In Proc. KDD, 2005.
-
(2005)
Proc. KDD
-
-
Lazarevic, A.1
Kumar, V.2
-
35
-
-
0000774379
-
A note on the utility of probabilistic predictions and the probability score in the cost-loss ratio decision situation
-
A. H. Murphy. A note on the utility of probabilistic predictions and the probability score in the cost-loss ratio decision situation. J. Appl. Meteor., 5(4):534-537, 1966.
-
(1966)
J. Appl. Meteor.
, vol.5
, Issue.4
, pp. 534-537
-
-
Murphy, A.H.1
-
36
-
-
0000488520
-
Verification of probabilistic predictions: A brief review
-
A. H. Murphy and E. S. Epstein. Verification of probabilistic predictions: A brief review. J. Appl. Meteor., 6(5):748-755, 1967.
-
(1967)
J. Appl. Meteor.
, vol.6
, Issue.5
, pp. 748-755
-
-
Murphy, A.H.1
Epstein, E.S.2
-
37
-
-
0002566236
-
Reliability of subjective probability forecasts of precipitation and temperature
-
A. H. Murphy and R. L. Winkler. Reliability of subjective probability forecasts of precipitation and temperature. Appl. Statist., 26(1):41-47, 1977.
-
(1977)
Appl. Statist.
, vol.26
, Issue.1
, pp. 41-47
-
-
Murphy, A.H.1
Winkler, R.L.2
-
38
-
-
84876835360
-
Mining outliers with ensemble of heterogeneous detectors on random subspaces
-
H. V. Nguyen, H. H. Ang, and V. Gopalkrishnan. Mining outliers with ensemble of heterogeneous detectors on random subspaces. In Proc. DASFAA, 2010.
-
(2010)
Proc. DASFAA
-
-
Nguyen, H.V.1
Ang, H.H.2
Gopalkrishnan, V.3
-
40
-
-
84878080825
-
An efficient reference-based approach to outlier detection in large datasets
-
Y. Pei, O. Zaïane, and Y. Gao. An efficient reference-based approach to outlier detection in large datasets. In Proc. ICDM, 2006.
-
(2006)
Proc. ICDM
-
-
Pei, Y.1
Zaïane, O.2
Gao, Y.3
-
41
-
-
31844448403
-
Optimizing abstaining classifiers using ROC analysis
-
T. Pietraszek. Optimizing abstaining classifiers using ROC analysis. In Proc. ICML, 2005.
-
(2005)
Proc. ICML
-
-
Pietraszek, T.1
-
42
-
-
0003243224
-
Probabilities for SV machines
-
A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors MIT Press
-
J. C. Platt. Probabilities for SV machines. In A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 61-74. MIT Press, 2000.
-
(2000)
Advances in Large Margin Classifiers
, pp. 61-74
-
-
Platt, J.C.1
-
43
-
-
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 Proc. SIGMOD, 2000.
-
(2000)
Proc. SIGMOD
-
-
Ramaswamy, S.1
Rastogi, R.2
Shim, K.3
-
44
-
-
32344438970
-
Extreme re-balancing for SVMs: A case study
-
B. Raskutti and A. Kowalczyk. Extreme re-balancing for SVMs: a case study. SIGKDD Explor., 6(1):60-69, 2004.
-
(2004)
SIGKDD Explor.
, vol.6
, Issue.1
, pp. 60-69
-
-
Raskutti, B.1
Kowalczyk, A.2
-
45
-
-
0032680362
-
A fast algorithm for the minimum covariance determinant estimator
-
P. Rousseeuw and K. Van Driessen. A fast algorithm for the minimum covariance determinant estimator. Technometrics, 41:212-223, 1999.
-
(1999)
Technometrics
, vol.41
, pp. 212-223
-
-
Rousseeuw, P.1
Van Driessen, K.2
-
46
-
-
0042323830
-
Computing depth contours of bivariate point clouds
-
I. Ruts and P. J. Rousseeuw. Computing depth contours of bivariate point clouds. Comput. Stat. and Data Anal., 23:153-168, 1996.
-
(1996)
Comput. Stat. and Data Anal.
, vol.23
, pp. 153-168
-
-
Ruts, I.1
Rousseeuw, P.J.2
-
47
-
-
33745827721
-
The verification of probability forecasts
-
F. Sanders. The verification of probability forecasts. J. Appl. Meteor., 6(5):756-761, 1967.
-
(1967)
J. Appl. Meteor.
, vol.6
, Issue.5
, pp. 756-761
-
-
Sanders, F.1
-
49
-
-
19544393356
-
On local spatial outliers
-
P. Sun and S. Chawla. On local spatial outliers. In Proc. ICDM, 2004.
-
(2004)
Proc. ICDM
-
-
Sun, P.1
Chawla, S.2
-
50
-
-
1542326289
-
Enhancing effectiveness of outlier detections for low density patterns
-
J. Tang, Z. Chen, A. W.-C. Fu, and D. W. Cheung. Enhancing effectiveness of outlier detections for low density patterns. In Proc. PAKDD, 2002.
-
(2002)
Proc. PAKDD
-
-
Tang, J.1
Chen, Z.2
Fu, A.W.-C.3
Cheung, D.W.4
-
53
-
-
20844458491
-
Mining with rarity: A unifying framework
-
G. M. Weiss. Mining with rarity: A unifying framework. SIGKDD Explor., 6(1):7-19, 2004.
-
(2004)
SIGKDD Explor.
, vol.6
, Issue.1
, pp. 7-19
-
-
Weiss, G.M.1
-
54
-
-
61449170039
-
Cost-sensitive learning vs. sampling: Which is best for handling unbalanced classes with unequal error costs?
-
G. M. Weiss, K. McCarthy, and B. Zabar. Cost-sensitive learning vs. sampling: Which is best for handling unbalanced classes with unequal error costs? In Proc. DMIN, 2007.
-
(2007)
Proc. DMIN
-
-
Weiss, G.M.1
McCarthy, K.2
Zabar, B.3
-
55
-
-
0003073074
-
Scoring rules and the evaluation of probabilities
-
R. L. Winkler. Scoring rules and the evaluation of probabilities. TEST, 5(1):1-60, 1996.
-
(1996)
TEST
, vol.5
, Issue.1
, pp. 1-60
-
-
Winkler, R.L.1
-
56
-
-
0035789316
-
Learning and making decisions when costs and probabilities are both unknown
-
B. Zadrozny and C. Elkan. Learning and making decisions when costs and probabilities are both unknown. In Proc. KDD, 2001.
-
(2001)
Proc. KDD
-
-
Zadrozny, B.1
Elkan, C.2
-
57
-
-
0242456763
-
Transforming classifier scores into accurate multiclass probability estimates
-
B. Zadrozny and C. Elkan. Transforming classifier scores into accurate multiclass probability estimates. In Proc. KDD, 2002.
-
(2002)
Proc. KDD
-
-
Zadrozny, B.1
Elkan, C.2
-
58
-
-
77955223251
-
A new local distance-based outlier detection approach for scattered real-world data
-
K. Zhang, M. Hutter, and H. Jin. A new local distance-based outlier detection approach for scattered real-world data. In Proc. PAKDD, 2009.
-
(2009)
Proc. PAKDD
-
-
Zhang, K.1
Hutter, M.2
Jin, H.3
|