SCOPUS 정보 검색 플랫폼

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2008, Pages 833-838

Graph-based rare category detection

(3) He, Jingrui a Yan, Liu b Lawrence, Richard b

a CARNEGIE MELLON UNIVERSITY (United States)

b IBM T J WATSON RESEARCH CENTER (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DETECTION METHODS; FINANCIAL FRAUD; GLOBAL SIMILARITY; GRAPH DATA; GRAPH-BASED; GRAPH-BASED METHODS; IMAGE DETECTION; MACHINE-LEARNING; MANIFOLD RANKING; NETWORK INTRUSION DETECTION; PROBABILITY DENSITIES; RARE CLASS; REAL APPLICATIONS; SYNTHETIC AND REAL DATA; UNLABELED DATA; UPPER BOUND;

INFORMATION MANAGEMENT; INTERNET; MINING; PROBABILITY DENSITY FUNCTION;

INTRUSION DETECTION;

EID: 67049161208 PISSN: 15504786 EISSN: None Source Type: Conference Proceeding
DOI: 10.1109/ICDM.2008.122 Document Type: Conference Paper

Times cited : (48)

References (18)

1
- 36948999941
- A. Asuncion and D.J. Newman. UCI machine learning repository, 2007.
- (2007) UCI machine Learning Repository
- Asuncion, A.¹ Newman, D.J.²

2
- 34748843986
- Large scale detection of irregularities in accounting data
- S. Bay, K. Kumaraswamy, M.G. Anderle, R. Kumar, and D.M. Steier. Large scale detection of irregularities in accounting data. In ICDM, pages 75-86, 2006.
- (2006) ICDM , pp. 75-86
- Bay, S.¹ Kumaraswamy, K.² Anderle, M.G.³ Kumar, R.⁴ Steier, D.M.⁵

3
- 67049135615
- P. Brazdil and J. Gama. Statlog repository. In *http://www.niaad. liacc.up.pt/old/statlog/datasets/shuttle/shuttle.doc.html, 1991.
- (1991) Statlog repository
- Brazdil, P.¹ Gama, J.²

4
- 33746044519
- Active sampling for multiple output identification
- Learning Theory - 19th Annual Conference on Learning Theory, COLT 2006, Proceedings
- S. Fine and Y. Mansour. Active sampling for multiple output identification. In COLT, pages 620-634, 2006. (Pubitemid 44072223)
- (2006) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol.4005 , pp. 620-634
- Fine, S.¹ Mansour, Y.²

5
- 0034592749
- Efficient identification of web communities
- G.W. Flake, S. Lawrence, and C.L Giles. Efficient identification of web communities. In KDD, pages 150-160, 2000.
- (2000) KDD , pp. 150-160
- Flake, G.W.¹ Lawrence, S.² Giles, C.L.³

6
- 33745630997
- Discovering large dense subgraphs in massive graphs
- VLDB 2005 - Proceedings of 31st International Conference on Very Large Data Bases
- D. Gibson, R. Kumar, and A. Tomkins. Discovering large dense subgraphs in massive graphs. In VLDB, pages 721- 732, 2005. (Pubitemid 43991047)
- (2005) VLDB 2005 - Proceedings of 31st International Conference on Very Large Data Bases , vol.2 , pp. 721-732
- Gibson, D.¹ Kumar, R.² Tomkins, A.³

7
- 85043434217
- Nearest-neighbor-based active learning for rare category detection
- J. He and J. Carbonell. Nearest-neighbor-based active learning for rare category detection. In NIPS, 2007.
- (2007) NIPS
- He, J.¹ Carbonell, J.²

8
- 84864590022
- Rare class discovery based on active learning
- J. He and J. Carbonell. Rare class discovery based on active learning. In ISAIM, 2008.
- (2008) ISAIM
- He, J.¹ Carbonell, J.²

9
- 5044220135
- Learning classifiers from imbalanced data based on biased minimax probability machine
- K. Huang, H. Yang, I. King, and K.R. Lyu. Learning classifiers from imbalanced data based on biased minimax probability machine. In CVPR, pages II-558-II-563, 2004.
- (2004) CVPR
- Huang, K.¹ Yang, H.² King, I.³ Lyu, K.R.⁴

10
- 84880488760
- R. Kumar, J. Novak, P. Raghavan, and A. Tomkins. On the bursty evolution of blogspace. In WWW, pages 568-576, 2003.
- (2003) On the Bursty Evolution of Blogspace , pp. 568-576
- Kumar, R.¹ Novak, J.² Raghavan, P.³ Tomkins, A.⁴

11
- 0004255908
- McGraw-Hill Science Engineering
- T. Mitchell. Machine Learning. McGraw-Hill Science Engineering, 1997.
- (1997) Machine Learning
- Mitchell, T.¹

12
- 35948994994
- Active learning for anomaly and rare-category detection
- D. Pelleg and A. Moore. Active learning for anomaly and rare-category detection. In NIPS, 2004.
- (2004) NIPS
- Pelleg, D.¹ Moore, A.²

13
- 67049152595
- Boosting for learning multiple classes with imbalanced class distribution
- Y. Sun, M.S. Karmel, and Y. Wang. Boosting for learning multiple classes with imbalanced class distribution. In ICDM, pages 592-602, 2006.
- (2006) ICDM , pp. 592-602
- Sun, Y.¹ Karmel, M.S.² Wang, Y.³

14
- 84904804970
- Filtering image spam with near-duplicate detection
- Z. Wang, W. Josephson, Q. Lv, M. Charikar, and K. Li. Filtering image spam with near-duplicate detection. In CEAS, 2007.
- (2007) CEAS
- Wang, Z.¹ Josephson, W.² Lv, Q.³ Charikar, M.⁴ Li, K.⁵

15
- 19544377810
- Aligning boundary in kernel space for learning imbalanced dataset
- G. Wu and E.Y. Chang. Aligning boundary in kernel space for learning imbalanced dataset. In ICDM, pages 265-272, 2004.
- (2004) ICDM , pp. 265-272
- Wu, G.¹ Chang, E.Y.²

16
- 36849083008
- Local decomposition for rare class analysis
- DOI 10.1145/1281192.1281279, KDD-2007: Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- J. Wu, H. Xiong, P. Wu, and J. Chen. Local decomposition for rare class analysis. In KDD, pages 814-823, 2007. (Pubitemid 350229267)
- (2007) Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pp. 814-823
- Wu, J.¹ Wu, P.² Chen, J.³ Xiong, H.⁴

17
- 22944492898
- Learning with local and global consistency
- D. Zhou, O. Bousquet, T.N. Lal, J. Weston, and B. Scholkopf. Learning with local and global consistency. In NIPS, 2003.
- (2003) NIPS
- Zhou, D.¹ Bousquet, O.² Lal, T.N.³ Weston, J.⁴ Scholkopf, B.⁵

18
- 11244293445
- Ranking on data manifolds
- D. Zhou, J. Weston, A. Gretton, O. Bousquet, and B. Scholkopf. Ranking on data manifolds. In NIPS, 2003.
- (2003) NIPS
- Zhou, D.¹ Weston, J.² Gretton, A.³ Bousquet, O.⁴ Scholkopf, B.⁵

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.