메뉴 건너뛰기




Volumn , Issue , 2008, Pages 636-641

Detection of anomalous meetings in a social network

Author keywords

Anomaly detection; Social networks; Unsupervised learning; Variational methods

Indexed keywords

ANNUAL CONFERENCE; ANOMALOUS EVENTS; ANOMALY DETECTION; ANOMALY DETECTIONS; DETECTION PERFORMANCES; EXPECTATION-MAXIMIZATION ALGORITHMS; HIGH-DIMENSIONAL; HYPERGRAPHS; OF GRAPHS; PAPER ADDRESSES; ROBUST STATISTICAL ANALYSIS; SOCIAL NETWORKS; STATE-OF-THE-ART METHODS; SYNTHETIC DATA; TWO-COMPONENT MIXTURES; UNSUPERVISED LEARNING; VARIATIONAL METHODS; VERY LARGE NETWORKS;

EID: 51849095029     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISS.2008.4558601     Document Type: Conference Paper
Times cited : (12)

References (25)
  • 1
    • 0031103689 scopus 로고    scopus 로고
    • Referral web: Combining social networks and collaborative filtering
    • H. Kautz, B. Selman, and M. Shah, "Referral web: combining social networks and collaborative filtering," Communications of the ACM, vol. 40, no. 3, 1997.
    • (1997) Communications of the ACM , vol.40 , Issue.3
    • Kautz, H.1    Selman, B.2    Shah, M.3
  • 3
    • 0038718854 scopus 로고    scopus 로고
    • The structure and function of complex networks
    • M. E. J. Newman, "The structure and function of complex networks," SIAM Review, vol. 45, pp. 167-256, 2003.
    • (2003) SIAM Review , vol.45 , pp. 167-256
    • Newman, M.E.J.1
  • 4
    • 51849083081 scopus 로고    scopus 로고
    • Geometric entropy minimization (GEM) for anomaly detection and localization
    • B. Scholkopf, J. Platt, and T. Hoffman, Eds. Cambridge, MA: MIT Press
    • A. O. Hero, "Geometric entropy minimization (GEM) for anomaly detection and localization," in Advances in Neural Information Processing Systems 19, B. Scholkopf, J. Platt, and T. Hoffman, Eds. Cambridge, MA: MIT Press, 2007, pp. 585-592.
    • (2007) Advances in Neural Information Processing Systems 19 , pp. 585-592
    • Hero, A.O.1
  • 5
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Computation, vol. 15, pp. 1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 8
    • 0037102646 scopus 로고    scopus 로고
    • Evolution of the social network of scientifc collaboration
    • A. L. Barabási, H. Jeong, Z. Néda, E. Ravasz, A. Schubert, and T. Vicsek, "Evolution of the social network of scientifc collaboration," Physica A, vol. 311, no. 3-4, pp. 590-614, 2002.
    • (2002) Physica A , vol.311 , Issue.3-4 , pp. 590-614
    • Barabási, A.L.1    Jeong, H.2    Néda, Z.3    Ravasz, E.4    Schubert, A.5    Vicsek, T.6
  • 10
    • 0038401985 scopus 로고    scopus 로고
    • Mapping networks of terrorist cells
    • V. Krebs, "Mapping networks of terrorist cells," Connections, no. 3, pp. 43-52, 2002.
    • (2002) Connections , Issue.3 , pp. 43-52
    • Krebs, V.1
  • 12
    • 34247527717 scopus 로고    scopus 로고
    • Prediction and ranking algorithms for event-based network data
    • J. O'Madadhain, "Prediction and ranking algorithms for event-based network data," ACM SIGKDD Explorations Newsletter, vol. 7, no. 2, pp. 23-30, 2005.
    • (2005) ACM SIGKDD Explorations Newsletter , vol.7 , Issue.2 , pp. 23-30
    • O'Madadhain, J.1
  • 13
    • 4344572517 scopus 로고    scopus 로고
    • Hyper-edges and multidimensional centrality
    • P. Bonacich, A. C. Holdren, and M. Johnston, "Hyper-edges and multidimensional centrality," Social Networks, vol. 26, pp. 189-203, 2004.
    • (2004) Social Networks , vol.26 , pp. 189-203
    • Bonacich, P.1    Holdren, A.C.2    Johnston, M.3
  • 15
    • 0017109036 scopus 로고
    • Multivariate binary discrimination by the kernel method
    • J. Aitchison and C. G. G. Aitken, "Multivariate binary discrimination by the kernel method," Biometrika, vol. 63, pp. 413-420, 1976.
    • (1976) Biometrika , vol.63 , pp. 413-420
    • Aitchison, J.1    Aitken, C.G.G.2
  • 17
    • 47849103065 scopus 로고    scopus 로고
    • Nonparametric assessment of contamination in multivariate data using Minimum Volume sets and FDR
    • unpublished, April
    • C. Scott and E. Kolaczyk, "Nonparametric assessment of contamination in multivariate data using Minimum Volume sets and FDR," unpublished, April 2007.
    • (2007)
    • Scott, C.1    Kolaczyk, E.2
  • 20
    • 51849083554 scopus 로고    scopus 로고
    • A. McCallum and K. Nigam, A comparison of event models for naive bayes text classification, AAAI-98 Workshop on Learning for Text Categorization, Tech. Rep. WS-98-05, 1998.
    • A. McCallum and K. Nigam, "A comparison of event models for naive bayes text classification," AAAI-98 Workshop on Learning for Text Categorization, Tech. Rep. WS-98-05, 1998.
  • 23
    • 84898985963 scopus 로고    scopus 로고
    • Approximating posterior distributions in belief networks using mixtures
    • M. I. Jordan, M. J. Kearns, and S. A. Solla, Eds. Cambridge, MA: MIT Press
    • C. M. Bishop, N. Lawrence, T Jaakola, and M. A. Jordan, "Approximating posterior distributions in belief networks using mixtures," in Advances in Neural Information Processing Systems 10, M. I. Jordan, M. J. Kearns, and S. A. Solla, Eds. Cambridge, MA: MIT Press, 1998.
    • (1998) Advances in Neural Information Processing Systems 10
    • Bishop, C.M.1    Lawrence, N.2    Jaakola, T.3    Jordan, M.A.4
  • 24
    • 0345822598 scopus 로고    scopus 로고
    • The positive false discovery rate: A Bayesian interpretation of the g-value
    • J. Storey, "The positive false discovery rate: a Bayesian interpretation of the g-value," Annals of Statistics, vol. 31, no. 6, pp. 2013-2035, 2003.
    • (2003) Annals of Statistics , vol.31 , Issue.6 , pp. 2013-2035
    • Storey, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.