-
1
-
-
0142063407
-
Novelty Detection: A Review Part 1: Statistical Approaches
-
Dec
-
M. Markou and S. Singh, "Novelty Detection: A Review Part 1: Statistical Approaches," Signal Processing, vol. 83, pp. 2481-2497, Dec. 2003.
-
(2003)
Signal Processing
, vol.83
, pp. 2481-2497
-
-
Markou, M.1
Singh, S.2
-
2
-
-
0036923209
-
Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks
-
Aug
-
W.-K. Wong, A. Moore, G. Cooper, and M. Wagner, "Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks," Proc. Nat'l Conf. Artificial Intelligence (AAAI '02), pp. 217-223, Aug. 2002.
-
(2002)
Proc. Nat'l Conf. Artificial Intelligence (AAAI '02)
, pp. 217-223
-
-
Wong, W.-K.1
Moore, A.2
Cooper, G.3
Wagner, M.4
-
3
-
-
0033682175
-
Ror: Rejection of Outliers by Rotations in Stereo Matching
-
June
-
A. Adam, E. Rivlin, and I. Shimshoni, "Ror: Rejection of Outliers by Rotations in Stereo Matching," Proc. Conf. Computer Vision and Pattern Recognition (CVPR '00), pp. 1002-1009, June 2000.
-
(2000)
Proc. Conf. Computer Vision and Pattern Recognition (CVPR '00)
, pp. 1002-1009
-
-
Adam, A.1
Rivlin, E.2
Shimshoni, I.3
-
5
-
-
32344452166
-
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
-
A. Lazarevic, L. Ertöz, V. Kumar, A. Ozgur, and J. Srivastava, "A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection," Proc. Third SIAM Int'l Conf Data Mining, 2003.
-
(2003)
Proc. Third SIAM Int'l Conf Data Mining
-
-
Lazarevic, A.1
Ertöz, L.2
Kumar, V.3
Ozgur, A.4
Srivastava, J.5
-
6
-
-
0034546898
-
Intrusion Detection in Wireless Ad-Hoc Networks
-
Y. Zhang and W. Lee, "Intrusion Detection in Wireless Ad-Hoc Networks," Proc. MobiCom Conf., pp. 275-283, 2000.
-
(2000)
Proc. MobiCom Conf
, pp. 275-283
-
-
Zhang, Y.1
Lee, W.2
-
7
-
-
0034133513
-
Distance-Based Outliers: Algorithms and Applications
-
Feb
-
E.M. Knorr, R.T. Ng, and V. Tucakov, "Distance-Based Outliers: Algorithms and Applications," VLDB J., vol. 8, nos. 3-4, pp. 237-253, Feb. 2000.
-
(2000)
VLDB J
, vol.8
, Issue.3-4
, pp. 237-253
-
-
Knorr, E.M.1
Ng, R.T.2
Tucakov, V.3
-
8
-
-
0039253819
-
LOF: Identifying Density-Based Local Outliers
-
May
-
M.M. Breunig, H.-P. Kriegel, R.T. Ng, and J. Sander, "LOF: Identifying Density-Based Local Outliers," Proc, ACM SIGMOD Conf., pp. 93-104, May 2000.
-
(2000)
Proc, ACM SIGMOD Conf
, pp. 93-104
-
-
Breunig, M.M.1
Kriegel, H.-P.2
Ng, R.T.3
Sander, J.4
-
9
-
-
0039845384
-
Efficient Algorithms for Mining Outliers from Large Data Sets
-
May
-
S. Ramaswamy, R. Rastogi, and K. Shim, "Efficient Algorithms for Mining Outliers from Large Data Sets," Proc. ACM SIGMOD Conf., pp. 427-438, May 2000.
-
(2000)
Proc. ACM SIGMOD Conf
, pp. 427-438
-
-
Ramaswamy, S.1
Rastogi, R.2
Shim, K.3
-
10
-
-
0009900351
-
Anomaly Detection over Noisy Data Using Learned Probability Distributions
-
June
-
E. Eskin, "Anomaly Detection over Noisy Data Using Learned Probability Distributions," Proc. Int'l Conf. Machine Learning, pp. 255-262, June 2000.
-
(2000)
Proc. Int'l Conf. Machine Learning
, pp. 255-262
-
-
Eskin, E.1
-
11
-
-
3543125360
-
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
-
May
-
K. Yamanishi, J. ichi Takeuchi, G.J. Williams, and P. Milne, "On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms," Data Mining and Knowledge Discovery, vol. 8, no. 3, pp. 275-300, May 2004.
-
(2004)
Data Mining and Knowledge Discovery
, vol.8
, Issue.3
, pp. 275-300
-
-
Yamanishi, K.1
ichi Takeuchi, J.2
Williams, G.J.3
Milne, P.4
-
12
-
-
0001614845
-
A Probabilistic Resource Allocating Network for Novelty Detection
-
Mar
-
S. Roberts and L. Tarassenko, "A Probabilistic Resource Allocating Network for Novelty Detection," Neural Computation, vol. 6, pp. 270-284, Mar. 1994.
-
(1994)
Neural Computation
, vol.6
, pp. 270-284
-
-
Roberts, S.1
Tarassenko, L.2
-
13
-
-
0002629270
-
Maximum Likelihood from Incomplete Data via the EM Algorithm
-
A. Dempster, N. Laird, and D. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm," J. Royal Statistical Soc., Series B, vol. 39, no. 1, pp. 1-38, 1977.
-
(1977)
J. Royal Statistical Soc., Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
14
-
-
0003857778
-
A Gentle Tutorial on the EM Algorithm and Its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
-
Technical Report ICSI-TR-97-021, Univ. of California at Berkeley
-
J. Bilmes, "A Gentle Tutorial on the EM Algorithm and Its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models," Technical Report ICSI-TR-97-021, Univ. of California at Berkeley, 1997.
-
(1997)
-
-
Bilmes, J.1
-
15
-
-
0031272327
-
Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables
-
D.M. Chickering and D. Heckerman, "Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables," Machine Learning, vol. 29, nos. 2-3, pp. 181-212, 1997.
-
(1997)
Machine Learning
, vol.29
, Issue.2-3
, pp. 181-212
-
-
Chickering, D.M.1
Heckerman, D.2
-
16
-
-
0036522404
-
Unsupervised Learning of Finite Mixture Models
-
Mar
-
M.A.T. Figueiredo and A.K. Jain, "Unsupervised Learning of Finite Mixture Models," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 3, pp. 381-396, Mar. 2002.
-
(2002)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.24
, Issue.3
, pp. 381-396
-
-
Figueiredo, M.A.T.1
Jain, A.K.2
-
18
-
-
12244285117
-
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
-
A. Lazarevic, L. Ertöz, V. Kumar, A. Ozgur, and J. Srivastava, "A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection," Proc. SIAM Conf. Data Mining, 2003.
-
(2003)
Proc. SIAM Conf. Data Mining
-
-
Lazarevic, A.1
Ertöz, L.2
Kumar, V.3
Ozgur, A.4
Srivastava, J.5
-
19
-
-
0034832620
-
Outlier Detection for High Dimensional Data
-
May
-
C.C. Aggarwal and P.S. Yu, "Outlier Detection for High Dimensional Data," Proc. ACM SIGMOD Conf., pp. 37-46, May 2001.
-
(2001)
Proc. ACM SIGMOD Conf
, pp. 37-46
-
-
Aggarwal, C.C.1
Yu, P.S.2
-
20
-
-
84947205653
-
When Is 'Nearest Neighbor' Meaningful?
-
Jan
-
K.S. Beyer, J. Goldstein, R. Ramakrishnan, and U. Shaft, "When Is 'Nearest Neighbor' Meaningful?" Proc. Int'l Conf. Database Theory, pp. 217-235, Jan. 1999.
-
(1999)
Proc. Int'l Conf. Database Theory
, pp. 217-235
-
-
Beyer, K.S.1
Goldstein, J.2
Ramakrishnan, R.3
Shaft, U.4
-
21
-
-
0031361662
-
A Spatial Scan Statistic
-
M. Kulldorff, "A Spatial Scan Statistic," Comm. in Statistics: Theory and Methods, vol. 26, no. 6, pp. 1481-1496, 1997.
-
(1997)
Comm. in Statistics: Theory and Methods
, vol.26
, Issue.6
, pp. 1481-1496
-
-
Kulldorff, M.1
-
23
-
-
0001822539
-
Spatial Scan Statistics: Models, Calculations, and Applications
-
M. Kulldorff, "Spatial Scan Statistics: Models, Calculations, and Applications," Scan Statistics and Applications, pp. 303-322, 1999.
-
(1999)
Scan Statistics and Applications
, pp. 303-322
-
-
Kulldorff, M.1
-
24
-
-
1942484473
-
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
-
Aug
-
W.-K. Wong, A. Moore, G. Cooper, and M. Wagner, "Bayesian Network Anomaly Pattern Detection for Disease Outbreaks," Proc. Int'l Conf. Machine Learning, pp. 808-815, Aug. 2003.
-
(2003)
Proc. Int'l Conf. Machine Learning
, pp. 808-815
-
-
Wong, W.-K.1
Moore, A.2
Cooper, G.3
Wagner, M.4
-
27
-
-
84953806973
-
Scaling Clustering Algorithms to Large Databases
-
P.S. Bradley, U.M. Fayyad, and C. Reina, "Scaling Clustering Algorithms to Large Databases," Knowledge Discovery and Data Mining, pp. 9-15, 1998.
-
(1998)
Knowledge Discovery and Data Mining
, pp. 9-15
-
-
Bradley, P.S.1
Fayyad, U.M.2
Reina, C.3
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