-
1
-
-
0034825778
-
PNrule, Mining Needles in a Haystack: Classifying Rare Classes via Two-Phase Rule Induction
-
Santa Barbara, CA, May
-
M. Joshi, R. Agarwal, V. Kumar, PNrule, Mining Needles in a Haystack: Classifying Rare Classes via Two-Phase Rule Induction, In Proceedings of the ACM SIGMOD Conference on Management of Data, Santa Barbara, CA, May 2001.
-
(2001)
Proceedings of the ACM SIGMOD Conference on Management of Data
-
-
Joshi, M.1
Agarwal, R.2
Kumar, V.3
-
2
-
-
27144550416
-
SMOTEBoost: Improving the Prediction of Minority Class in Boosting
-
Cavtat, Croatia, September
-
N. Chawla, A. Lazarevic, L. Hall, K. Bowyer, SMOTEBoost: Improving the Prediction of Minority Class in Boosting, In Proceedings of the Principles of Knowledge Discovery in Databases, PKDD-2003, Cavtat, Croatia, September 2003.
-
(2003)
Proceedings of the Principles of Knowledge Discovery in Databases, PKDD-2003
-
-
Chawla, N.1
Lazarevic, A.2
Hall, L.3
Bowyer, K.4
-
4
-
-
32344452166
-
A comparative study of anomaly detection schemes in network intrusion detection
-
San Francisco, CA, May
-
A Lazarevic, L. Ertoz, A. Ozgur, J. Srivastava, V. Kumar, A comparative study of anomaly detection schemes in network intrusion detection, In Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, May 2003.
-
(2003)
Proceedings of the Third SIAM International Conference on Data Mining
-
-
Lazarevic, A.1
Ertoz, L.2
Ozgur, A.3
Srivastava, J.4
Kumar, V.5
-
5
-
-
32344440279
-
Feature Bagging for Outlier Detection
-
Chicago, IL, August
-
A. Lazarevic, V. Kumar, Feature Bagging for Outlier Detection, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, August 2005.
-
(2005)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
-
Lazarevic, A.1
Kumar, V.2
-
6
-
-
0034282347
-
BACON: Blocked Adaptive Computationally-Efficient Outlier Nominators
-
N. Billor, A. Hadi and P. Velleman BACON: Blocked Adaptive Computationally-Efficient Outlier Nominators, Computational Statistics & Data Analysis, Vol. 34, pp. 279-298, 2000.
-
(2000)
Computational Statistics & Data Analysis
, vol.34
, pp. 279-298
-
-
Billor, N.1
Hadi, A.2
Velleman, P.3
-
7
-
-
0009900351
-
Anomaly Detection over Noisy Data using Learned Probability Distributions
-
Stanford University, CA, June
-
E. Eskin, Anomaly Detection over Noisy Data using Learned Probability Distributions, In Proceedings of the International Conference on Machine Learning, Stanford University, CA, June.2000.
-
(2000)
Proceedings of the International Conference on Machine Learning
-
-
Eskin, E.1
-
9
-
-
0039253819
-
LOF: Identifying Density Based Local Outliers
-
Dallas, TX, May
-
M.M. Breunig, H.P. Kriegel, R.T. Ng and J. Sander, LOF: Identifying Density Based Local Outliers, In Proceedings cf the ACM SIGMOD Conference, Dallas, TX, May 2000.
-
(2000)
Proceedings cf the ACM SIGMOD Conference
-
-
Breunig, M.M.1
Kriegel, H.P.2
Ng, R.T.3
Sander, J.4
-
11
-
-
85132247975
-
FindOut: Finding Outliers in Very Large Datasets
-
October
-
D. Yu, G. Sheikholeslami and A. Zhang, FindOut: Finding Outliers in Very Large Datasets, The Knowledge and Information Systems (KAIS) journal, vol. 4, 4, October 2002.
-
(2002)
The Knowledge and Information Systems (KAIS) journal
, vol.4
, pp. 4
-
-
Yu, D.1
Sheikholeslami, G.2
Zhang, A.3
-
12
-
-
0141797880
-
A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data
-
S. Jajodia D. Barbara, Ed. Boston: Kluwer Academic Publishers
-
E. Eskin, A. Arnold, M Prerau, L. Portnoy and S. Stolfo, A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data, in Applications of Data Mining in Computer Security, Advances In Information Security, S. Jajodia D. Barbara, Ed. Boston: Kluwer Academic Publishers, 2002.
-
(2002)
Applications of Data Mining in Computer Security, Advances In Information Security
-
-
Eskin, E.1
Arnold, A.2
Prerau, M.3
Portnoy, L.4
Stolfo, S.5
-
13
-
-
84864859588
-
Outlier Detection Using Replicator Neural Networks
-
Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery DaWaK02, Aix-en-Provence, France, pp, September
-
S. Hawkins, H. He, G. Williams, and, R. Baxter, Outlier Detection Using Replicator Neural Networks, In Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery (DaWaK02), Lecture Notes in Computer Science 2454, Aix-en-Provence, France, pp. 170-180, September 2002.
-
(2002)
Lecture Notes in Computer Science
, vol.2454
, pp. 170-180
-
-
Hawkins, S.1
He, H.2
Williams, G.3
Baxter, R.4
-
14
-
-
0035421941
-
Event Detection and Analysis from Video Streams
-
G. Medioni, I. Cohen, S. Hongeng, F. Bremond and R. Nevatia. Event Detection and Analysis from Video Streams, IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(23), 873-889, 2001.
-
(2001)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.8
, Issue.23
, pp. 873-889
-
-
Medioni, G.1
Cohen, I.2
Hongeng, S.3
Bremond, F.4
Nevatia, R.5
-
15
-
-
34548759503
-
-
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Jeff Strickrott: Multimedia Data Mining for Traffic Video Sequences. MDM/KDD 2001, pp 78-86.
-
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Jeff Strickrott: Multimedia Data Mining for Traffic Video Sequences. MDM/KDD 2001, pp 78-86.
-
-
-
-
16
-
-
84908264313
-
Raogasami L. Kashyap: Video Scene Change Detection Method Using Unsupervised Segmentation And Object Tracking
-
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Raogasami L. Kashyap: Video Scene Change Detection Method Using Unsupervised Segmentation And Object Tracking. Proc. ICME 2001
-
(2001)
Proc. ICME
-
-
Chen, S.1
Shyu, M.2
Zhang, C.3
-
17
-
-
85028132868
-
Reverse kNN Search in arbitrary dimensionality
-
Toronto, Canada, September
-
Y. Tao, D. Papadias, X. Lian, Reverse kNN Search in arbitrary dimensionality, In Proceedings of the 30th International Conference on Very Large Data Bases, Toronto, Canada, September 2004.
-
(2004)
Proceedings of the 30th International Conference on Very Large Data Bases
-
-
Tao, Y.1
Papadias, D.2
Lian, X.3
-
18
-
-
18744363040
-
High Dimensional Reverse Nearest Neighbor Queries
-
New Orleans, LA, November
-
Amit Singh, Hakan Ferhatosmanoglu, Ali Tosun, High Dimensional Reverse Nearest Neighbor Queries, In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM'03), New Orleans, LA, November 2003.
-
(2003)
Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM'03)
-
-
Singh, A.1
Ferhatosmanoglu, H.2
Tosun, A.3
-
19
-
-
0242263908
-
Reverse Nearest Neighbor Queries for Dynamic Databases
-
Dalas, TX, May
-
Ioana Stanoi, Divyakant Agrawal, Amr El Abbadi, Reverse Nearest Neighbor Queries for Dynamic Databases, ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, Dalas, TX, May 2000.
-
(2000)
ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
-
-
Stanoi, I.1
Agrawal, D.2
Abbadi, A.E.3
-
20
-
-
34548801759
-
The inverse nearest neighbor problem with astrophysical applications
-
Washington, DC, January
-
J. Anderson, Brian, Tjaden, The inverse nearest neighbor problem with astrophysical applications. In Proceedings of the 12th Symposium of Discrete Algorithms (SODA), Washington, DC, January 2001.
-
(2001)
Proceedings of the 12th Symposium of Discrete Algorithms (SODA)
-
-
Anderson, J.1
Brian, T.2
-
21
-
-
34548732321
-
Computational geometry issues of reverse-k nearest neighbors queries
-
Technical Report TR-CIS5001, Delaware State University
-
D. Pokrajac, L. J. Latecki, A. Lazarevic et al. Computational geometry issues of reverse-k nearest neighbors queries, Technical Report TR-CIS5001, Delaware State University 2006.
-
(2006)
-
-
Pokrajac, D.1
Latecki, L.J.2
Lazarevic, A.3
-
23
-
-
34548719149
-
Computational Geometry: An Introduction
-
Springer-Verlag
-
F. P. Preparata, M. I. Shamos, Computational Geometry: an Introduction, 2nd Printing, Springer-Verlag 1988
-
(1988)
2nd Printing
-
-
Preparata, F.P.1
Shamos, M.I.2
-
24
-
-
84976703615
-
Nearest neighbor queries, 71-79
-
San Jose, CA
-
N. Roussopoulos, S. Kelley and F. Vincent, Nearest neighbor queries, 71-79, Proceedings, of the. ACM SIGMOD Conference, San Jose, CA, 1995
-
(1995)
Proceedings, of the. ACM SIGMOD Conference
-
-
Roussopoulos, N.1
Kelley, S.2
Vincent, F.3
-
25
-
-
0025447750
-
The R*-tree: An efficient and robust access method for points and rectangles
-
N. Beckmann, H.-P. Kriegel, R. Schneider, and B. Seeger. The R*-tree: an efficient and robust access method for points and rectangles. SIGMOD Rec., 19(2):322-331, 1990.
-
(1990)
SIGMOD Rec
, vol.19
, Issue.2
, pp. 322-331
-
-
Beckmann, N.1
Kriegel, H.-P.2
Schneider, R.3
Seeger, B.4
-
26
-
-
0001802606
-
The X-tree: An index structure for highdimensional data
-
T. M. Vijayaraman, A. P. Buchmann, C. Mohan, and N. L. Sarda, editors, San Francisco, U.S.A, Morgan Kaufmann Publishers
-
S. Berchtold, D. A Keim, and H.-P. Kriegel. The X-tree: An index structure for highdimensional data. In T. M. Vijayaraman, A. P. Buchmann, C. Mohan, and N. L. Sarda, editors, Proceedings of the 22nd International Conference on Very Large Databases, pages 28-39, San Francisco, U.S.A., 1996. Morgan Kaufmann Publishers.
-
(1996)
Proceedings of the 22nd International Conference on Very Large Databases
, pp. 28-39
-
-
Berchtold, S.1
Keim, D.A.2
Kriegel, H.-P.3
-
27
-
-
0000681228
-
A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
-
San Francisco, CA, USA, Morgan Kaufmann Publishers Inc
-
R. Weber, H.-J. Schek, and S. Blott. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In VLDB '98: Proceedings of the 24rd International Conference on Very Large Data Bases, pages 194-205, San Francisco, CA, USA, 1998. Morgan Kaufmann Publishers Inc.
-
(1998)
VLDB '98: Proceedings of the 24rd International Conference on Very Large Data Bases
, pp. 194-205
-
-
Weber, R.1
Schek, H.-J.2
Blott, S.3
-
28
-
-
37249049185
-
Relevance Ranking of Video Data using Hidden Markov Model Distances and Polygon Simplification
-
November
-
D. DeMenthon, L. J. Latecki, A. Rosenfeld, and M. Vuilleumier Stückelberg: Relevance Ranking of Video Data using Hidden Markov Model Distances and Polygon Simplification. Proc. of the Int. Conf. on Visual Information Systems, Lyon, France, Springer-Verlag, pp. 49-61, November 2000.
-
(2000)
Proc. of the Int. Conf. on Visual Information Systems, Lyon, France, Springer-Verlag
, pp. 49-61
-
-
DeMenthon, D.1
Latecki, L.J.2
Rosenfeld, A.3
Vuilleumier Stückelberg, M.4
-
29
-
-
34548767535
-
Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video
-
L. J. Latecki, R. Miezianko, V. Megalooikonomou, D. Pokrajac, Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video, International Journal of Intelligent Systems Technologies and Applications, 1 (3-4) 2006, pp. 376-392.
-
(2006)
International Journal of Intelligent Systems Technologies and Applications
, vol.1
, Issue.3-4
, pp. 376-392
-
-
Latecki, L.J.1
Miezianko, R.2
Megalooikonomou, V.3
Pokrajac, D.4
-
31
-
-
84962260018
-
-
R. P. Lippmann, D. J. Fried, I. Graf, J. et al, Evaluating Intrusion Detection Systems: The 1998 DARPA Off-line Intrusion Detection Evaluation, In Proceedings DARPA Information Survivability Conference and Exposition (DISCEX) 2000, 2, pp. 12-26, IEEE Computer Society Press, Los Alamitos, CA, 2000.
-
R. P. Lippmann, D. J. Fried, I. Graf, J. et al, Evaluating Intrusion Detection Systems: The 1998 DARPA Off-line Intrusion Detection Evaluation, In Proceedings DARPA Information Survivability Conference and Exposition (DISCEX) 2000, Vol 2, pp. 12-26, IEEE Computer Society Press, Los Alamitos, CA, 2000.
-
-
-
-
32
-
-
34548737526
-
-
Tcptrace software tool
-
Tcptrace software tool, www.tcptrace.org.
-
-
-
-
33
-
-
34548765367
-
-
UCI KDD Archive, KDD Cup, 1999 Data Set, www.ics.uci.edu/~kdd/databases/ kddcup99/kddcup99.html
-
UCI KDD Archive, KDD Cup, 1999 Data Set, www.ics.uci.edu/~kdd/databases/ kddcup99/kddcup99.html
-
-
-
-
34
-
-
1542326289
-
Enhancing Effectiveness of Outlier Detections for Low Density Patterns
-
Taipei, May
-
J. Tang, Z. Chen, A. Fu, D. Cheung, Enhancing Effectiveness of Outlier Detections for Low Density Patterns, In Proceedings of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD), Taipei, May, 2002.
-
(2002)
Proceedings of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD)
-
-
Tang, J.1
Chen, Z.2
Fu, A.3
Cheung, D.4
-
35
-
-
0345359208
-
LOCI: Fast Outlier Detection Using the Local Correlation Integral
-
Bangalore, India, March
-
S. Papadimitriou, H. Kitagawa, P. B. Gibbons, C. Faloutsos: LOCI: Fast Outlier Detection Using the Local Correlation Integral, In Proceedings of the 19th International Conference oh Data Engineering (ICDE'03), Bangalore, India, March 2003.
-
(2003)
Proceedings of the 19th International Conference oh Data Engineering (ICDE'03)
-
-
Papadimitriou, S.1
Kitagawa, H.2
Gibbons, P.B.3
Faloutsos, C.4
-
37
-
-
34548762913
-
-
D.M.V. Sommerville, An Introduction to the Geometry of N Dimensions, Dover Publications, Inc, NY, 1958.
-
D.M.V. Sommerville, An Introduction to the Geometry of N Dimensions, Dover Publications, Inc, NY, 1958.
-
-
-
-
38
-
-
0002656796
-
Activity monitoring: Noticing interesting changes in behavior
-
San Diego, California, pp
-
T. Fawcett, F. Provost, Activity monitoring: noticing interesting changes in behavior, Proceedings fifth ACM SIGKDD international conference on Knowledge discovery and data mining, August 15-18, 1999, San Diego, California, pp.53-62
-
(1999)
Proceedings fifth ACM SIGKDD international conference on Knowledge discovery and data mining, August 15-18
, pp. 53-62
-
-
Fawcett, T.1
Provost, F.2
-
39
-
-
0742323983
-
-
P. Domingos and G. Hulten, A General Framework for Mining Massive Data Streams, Journal of Computational and Graphical Statistics 12 (4) (2003), pp. 945-949.
-
P. Domingos and G. Hulten, A General Framework for Mining Massive Data Streams, Journal of Computational and Graphical Statistics 12 (4) (2003), pp. 945-949.
-
-
-
-
40
-
-
33845240405
-
Capabilities of outlier detection schemes in large datasets, framework and methodologies
-
J.Tang, Z. Chen, AW. Fu, D.W. Cheung, Capabilities of outlier detection schemes in large datasets, framework and methodologies Knowledge and Information Systems 11(1), 2006, pp. 45-84.
-
(2006)
Knowledge and Information Systems
, vol.11
, Issue.1
, pp. 45-84
-
-
Tang, J.1
Chen, Z.2
Fu, A.W.3
Cheung, D.W.4
-
41
-
-
0242540409
-
Proceedings of the Eighth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining
-
Edmonton, Alberta, Canada, July 23-26
-
K. Yamanishi, J. Takeuchi, A unifying framework for detecting outliers and change points from non-stationary time series data. In Proceedings of the Eighth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada, July 23-26, 2002, pp. 676-681.
-
(2002)
A unifying framework for detecting outliers and change points from non-stationary time series data
, pp. 676-681
-
-
Yamanishi, K.1
Takeuchi, J.2
-
42
-
-
34250624528
-
-
E. Achtert E., C. Böhm, P. Kröger, P. Kunath, A. Pryakhin, M. Renz, Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces.In Proceedings ACM SIGMOD Int. Conf. on Management of Data(SIGMOD'06), Chicago (IL), U.S.A., 2006, pp. 515-526.
-
E. Achtert E., C. Böhm, P. Kröger, P. Kunath, A. Pryakhin, M. Renz, Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces.In Proceedings ACM SIGMOD Int. Conf. on Management of Data(SIGMOD'06), Chicago (IL), U.S.A., 2006, pp. 515-526.
-
-
-
|