-
2
-
-
0042421807
-
Statistical Fraud Detection: A Review
-
Bolton, R. and D. J. Hand, Statistical Fraud Detection: A Review, 2002. Statistical Science, 17(3): 235-255.
-
(2002)
Statistical Science
, vol.17
, Issue.3
, pp. 235-255
-
-
Bolton, R.1
Hand, D.J.2
-
4
-
-
84879085576
-
-
7th International Database Engineering and Application Symposium (IDEAS03)
-
Chiu, A. and A. Fu, 2003. Enhancement on Local Outlier Detection. 7th International Database Engineering and Application Symposium (IDEAS03), pp. 298-307.
-
(2003)
Enhancement on Local Outlier Detection
, pp. 298-307
-
-
Chiu, A.1
Fu, A.2
-
5
-
-
0002948319
-
Algorithms for Mining Distance-based Outliers in Large Data Sets
-
Proc. the 24th International Conference on Very Large Databases (VLDB)
-
th International Conference on Very Large Databases (VLDB), pp. 392-403.
-
(1998)
, pp. 392-403
-
-
Knorr, E.1
Ng, R.2
-
6
-
-
0034133513
-
Distance-based Outliers: Algorithms and Applications
-
Knorr, E., R. Ng, and V. Tucakov, 2000. Distance-based Outliers: Algorithms and Applications. VLDB Journal, 8(3-4): 237-253.
-
(2000)
VLDB Journal
, vol.8
, Issue.3-4
, pp. 237-253
-
-
Knorr, E.1
Ng, R.2
Tucakov, V.3
-
7
-
-
7544223741
-
A Survey of Outlier Detection Methodologies
-
Hodge, V. and J. Austin, 2004. A Survey of Outlier Detection Methodologies, Artificial Intelligence Review, 22: 85-126.
-
(2004)
Artificial Intelligence Review
, vol.22
, pp. 85-126
-
-
Hodge, V.1
Austin, J.2
-
9
-
-
71049116819
-
Outlier Detection using Clustering Methods: A Data Cleaning Application
-
in Proceedings of KDNet Symposium on Knowledge-based Systems for the Public Sector. Bonn, Germany
-
Loureiro, A., L. Torgo and C. Soares, 2004. Outlier Detection using Clustering Methods: a Data Cleaning Application, in Proceedings of KDNet Symposium on Knowledge-based Systems for the Public Sector. Bonn, Germany.
-
(2004)
-
-
Loureiro, A.1
Torgo, L.2
Soares, C.3
-
10
-
-
38549108906
-
Outlier Detection Using Distance Distribution Clustering
-
T. Washio et al. (Eds.):, Springer-Verlag
-
Niu, K., C. Huang, S. Zhang, and J. Chen, 2007. ODDC: Outlier Detection Using Distance Distribution Clustering, T. Washio et al. (Eds.): PAKDD 2007 Workshops, Lecture Notes in Artificial Intelligence (LNAI) 4819, pp. 332-343, Springer-Verlag.
-
(2007)
PAKDD 2007 Workshops, Lecture Notes in Artificial Intelligence (LNAI) 4819
, pp. 332-343
-
-
Niu, K.1
Huang, C.2
Zhang, S.3
Chen, J.4
-
11
-
-
33749316703
-
Detecting outlying subspaces for high-dimensional data: The new Task
-
Zhang, J. and H. Wang, 2006. Detecting outlying subspaces for high-dimensional data: the new Task, Algorithms, and Performance, Knowledge and Information Systems, 10(3): 333-355.
-
(2006)
Algorithms, and Performance, Knowledge and Information Systems
, vol.10
, Issue.3
, pp. 333-355
-
-
Zhang, J.1
Wang, H.2
-
12
-
-
0001457509
-
Some methods for classification and analysis of multivariate observations
-
MacQueen, J.,1967. Some methods for classification and analysis of multivariate observations. Proc. 5th Berkeley Symp. Math. Stat. and Prob, pp. 281-97.
-
(1967)
Proc. 5th Berkeley Symp. Math. Stat. and Prob
, pp. 281-297
-
-
MacQueen, J.1
-
13
-
-
30244517052
-
A New Partitioning Around Medoids Algorithms
-
Laan, M., K. Pollard and J. Bryan, 2003. A New Partitioning Around Medoids Algorithms, Journal of Statistical Computation and Simulation, 73(8): 575-584.
-
(2003)
Journal of Statistical Computation and Simulation
, vol.73
, Issue.8
, pp. 575-584
-
-
Laan, M.1
Pollard, K.2
Bryan, J.3
-
15
-
-
0037172724
-
A Prediction-Based Resampling method for Estimating the number of clusters in a dataset
-
Dudoit, S. and J. Fridlyand, 2002. A Prediction-Based Resampling method for Estimating the number of clusters in a dataset, Genome Biology, 3(7): 1-21.
-
(2002)
Genome Biology
, vol.3
, Issue.7
, pp. 1-21
-
-
Dudoit, S.1
Fridlyand, J.2
-
16
-
-
0004990788
-
Mathematical Programming for Data Mining: Formulations and Challenges
-
Bradley, P., U. Fayyad, and O. Mangasarian, 1999. Mathematical Programming for Data Mining: Formulations and Challenges. INFORMS Journal on Computing 11(3): 217-238.
-
(1999)
INFORMS Journal on Computing
, vol.11
, Issue.3
, pp. 217-238
-
-
Bradley, P.1
Fayyad, U.2
Mangasarian, O.3
-
17
-
-
0003136237
-
Efficient and Effective Clustering Methods for Spatial Data Mining
-
Santiago, Chile
-
Ng, R. and J. Han, 1994. Efficient and Effective Clustering Methods for Spatial Data Mining, Proc. 20th International Conference on Very Large Databases, Santiago, Chile, pp. 144-155.
-
(1994)
Proc. 20th International Conference on Very Large Databases
, pp. 144-155
-
-
Ng, R.1
Han, J.2
-
18
-
-
24944536258
-
A New and Efficient K-Medoid Algorithm for Spatial Clustering
-
in O. Gervasi et al. (Eds.):, © Springer-Verlag
-
Zhang, Q. and I. Couloigner, 2005. A New and Efficient K-Medoid Algorithm for Spatial Clustering, in O. Gervasi et al. (Eds.): ICCSA 2005, Lecture Notes in Computer Science (LNCS) 3482, pp. 181 - 189, 2005. © Springer-Verlag.
-
(2005)
ICCSA 2005, Lecture Notes in Computer Science (LNCS) 3482
, pp. 181-189
-
-
Zhang, Q.1
Couloigner, I.2
-
22
-
-
0039845384
-
Efficient Algorithm for Mining Outliers from Large Data Sets
-
Ramaswami, S., R. Rastogi and K. Shim, 2000. Efficient Algorithm for Mining Outliers from Large Data Sets. Proc. ACM SIGMOD, pp. 427-438.
-
(2000)
Proc. ACM SIGMOD
, pp. 427-438
-
-
Ramaswami, S.1
Rastogi, R.2
Shim, K.3
-
24
-
-
0039253819
-
Lof: Identifying density-based local outliers
-
In Proceedings of 2000 ACM SIGMOD International Conference on Management of Data. ACM Press
-
Breunig, M., H. Kriegel, R. Ng and J. Sander, 2000. Lof: identifying density-based local outliers. In Proceedings of 2000 ACM SIGMOD International Conference on Management of Data. ACM Press, 93-104.
-
(2000)
, pp. 93-104
-
-
Breunig, M.1
Kriegel, H.2
Ng, R.3
Sander, J.4
-
25
-
-
0345359208
-
LOCI: Fast outlier detection using the local correlation integral
-
Proc. of the International Conference on Data Engineering
-
Papadimitriou, S., H. Kitawaga, P. Gibbons, and C. Faloutsos, 2003. LOCI: Fast outlier detection using the local correlation integral. Proc. of the International Conference on Data Engineering, pp. 315-326.
-
(2003)
, pp. 315-326
-
-
Papadimitriou, S.1
Kitawaga, H.2
Gibbons, P.3
Faloutsos, C.4
-
26
-
-
0024568388
-
Fuzzy Clustering for the Estimation of the Parameters of the Components of Mixtures of Normal Distribution
-
Gath, I and A. Geva, 1989. Fuzzy Clustering for the Estimation of the Parameters of the Components of Mixtures of Normal Distribution, Pattern Recognition Letters, 9, pp. 77-86.
-
(1989)
Pattern Recognition Letters
, vol.9
, pp. 77-86
-
-
Gath, I.1
Geva, A.2
-
27
-
-
38249004666
-
Detection of Outliers and Robust Estimation using Fuzzy Clustering
-
Cutsem, B and I. Gath, 1993. Detection of Outliers and Robust Estimation using Fuzzy Clustering, Computational Statistics & Data Analyses 15, pp. 47-61.
-
(1993)
Computational Statistics & Data Analyses
, vol.15
, pp. 47-61
-
-
Cutsem, B.1
Gath, I.2
-
28
-
-
0035336998
-
Two-phase Clustering Process for Outlier Detection
-
Jiang, M., S. Tseng and C. Su, 2001. Two-phase Clustering Process for Outlier Detection, Pattern Recognition Letters, 22: 691-700.
-
(2001)
Pattern Recognition Letters
, vol.22
, pp. 691-700
-
-
Jiang, M.1
Tseng, S.2
Su, C.3
-
29
-
-
84893204428
-
-
Technical paper, Department of Mathematics, University of Puerto Rico at Mayaguez, available at, In proceedings IPSI 2004, Venice
-
Acuna E. and Rodriguez C., (2004), A Meta Analysis Study of Outlier Detection Methods in Classification, Technical paper, Department of Mathematics, University of Puerto Rico at Mayaguez, available at academic.uprm.edu/~eacuna/paperout.pdf. In proceedings IPSI 2004, Venice.
-
(2004)
A Meta Analysis Study of Outlier Detection Methods in Classification
-
-
Acuna, E.1
Rodriguez, C.2
-
30
-
-
34248551279
-
Improving Hierarchical Cluster Analysis: A New Method with Outlier Detection and Automatic Clustering
-
Almeida, J., L. Barbosa, A. Pais and S. Formosinho, 2007. Improving Hierarchical Cluster Analysis: A New Method with Outlier Detection and Automatic Clustering, Chemometrics and Intelligent Laboratory Systems 87: 208-217.
-
(2007)
Chemometrics and Intelligent Laboratory Systems
, vol.87
, pp. 208-217
-
-
Almeida, J.1
Barbosa, L.2
Pais, A.3
Formosinho, S.4
-
31
-
-
47949101596
-
An approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
-
First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), Madrid
-
Yoon, K., O. Kwon and D. Bae, 2007. An approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), Madrid, pp. 443-445.
-
(2007)
, pp. 443-445
-
-
Yoon, K.1
Kwon, O.2
Bae, D.3
-
32
-
-
34250824637
-
Unsupervised minor prototype detection using an adaptive population partitioning algorithm
-
Chiang, J. and Z. Yin, 2007. Unsupervised minor prototype detection using an adaptive population partitioning algorithm, Pattern Recognition 40: 3132 - 3145.
-
(2007)
Pattern Recognition
, vol.40
, pp. 3132-3145
-
-
Chiang, J.1
Yin, Z.2
-
33
-
-
0003408496
-
-
University of California, Irvine, Department of Information and Computer Sciences
-
Blake, C. L. & C. J. Merz, 1998. UCI Repository of Machine Learning Databases, http://www.ics.uci.edu/mlearn/MLRepository.html, University of California, Irvine, Department of Information and Computer Sciences.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
|