메뉴 건너뛰기




Volumn , Issue , 2010, Pages 163-172

Metric forensics: A multi-level approach for mining volatile graphs

Author keywords

Graph mining; Temporal analysis; Volatile graphs

Indexed keywords

ANALYSIS TECHNIQUES; COARSER RESOLUTION; CYBER SECURITY; DATA COLLECTION; DRILL-DOWN; GRAPH ANALYSIS; GRAPH DATA; GRAPH MINING; INTERNET COMMUNICATION; MULTI-LEVEL; NEAR-REAL TIME; NETWORK TRAFFIC; REAL-WORLD GRAPHS; REALITY MININGS; RESEARCH INSTITUTIONS; STORAGE CAPACITY; TEMPORAL ANALYSIS; TEMPORAL RESOLUTION; VOLATILE GRAPHS;

EID: 77956201937     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835804.1835828     Document Type: Conference Paper
Times cited : (49)

References (35)
  • 2
    • 77956209162 scopus 로고    scopus 로고
    • OddBall: Spotting anomalies in weighted graphs
    • L. Akoglu, M. McGlohon, and C. Faloutsos. OddBall: Spotting anomalies in weighted graphs. In PAKDD, 2010.
    • (2010) PAKDD
    • Akoglu, L.1    McGlohon, M.2    Faloutsos, C.3
  • 3
    • 0033539175 scopus 로고    scopus 로고
    • Diameter of the world wide web
    • R. Albert, H. Jeong, and A.-L. Barabasi. Diameter of the world wide web. Nature, (401):130-131, 1999.
    • (1999) Nature , Issue.401 , pp. 130-131
    • Albert, R.1    Jeong, H.2    Barabasi, A.-L.3
  • 4
    • 33749575022 scopus 로고    scopus 로고
    • Group formation in large social networks: Membership, growth, and evolution
    • L. Backstrom, D. P. Huttenlocher, J. M. Kleinberg, and X. Lan. Group formation in large social networks: membership, growth, and evolution. In KDD, pages 44-54, 2006.
    • (2006) KDD , pp. 44-54
    • Backstrom, L.1    Huttenlocher, D.P.2    Kleinberg, J.M.3    Lan, X.4
  • 5
    • 18744406314 scopus 로고    scopus 로고
    • The origin of bursts and heavy tails in human dynamics
    • A.-L. Barabasi. The origin of bursts and heavy tails in human dynamics. Nature, 435:207-211, 2005.
    • (2005) Nature , vol.435 , pp. 207-211
    • Barabasi, A.-L.1
  • 6
    • 0002198703 scopus 로고
    • Estimating the selectivity of spatial queries using the 'correlation' fractal dimension
    • A. Belussi and C. Faloutsos. Estimating the selectivity of spatial queries using the 'correlation' fractal dimension. In VLDB, pages 299-310, 1995.
    • (1995) VLDB , pp. 299-310
    • Belussi, A.1    Faloutsos, C.2
  • 7
    • 0039253819 scopus 로고    scopus 로고
    • LOF: Identifying density-based local outliers
    • M. M. Breunig, H.-P. Kriegel, R. T. Ng, and J. Sander. LOF: Identifying density-based local outliers. In SIGMOD, pages 93-104, 2000.
    • (2000) SIGMOD , pp. 93-104
    • Breunig, M.M.1    Kriegel, H.-P.2    Ng, R.T.3    Sander, J.4
  • 10
    • 34548571606 scopus 로고    scopus 로고
    • Autopart: Parameter-free graph partitioning and outlier detection
    • D. Chakrabarti. Autopart: Parameter-free graph partitioning and outlier detection. In PKDD, pages 112-124, 2004.
    • (2004) PKDD , pp. 112-124
    • Chakrabarti, D.1
  • 13
    • 36849005505 scopus 로고    scopus 로고
    • Evolutionary spectral clustering by incorporating temporal smoothness
    • Y. Chi, X. Song, D. Zhou, K. Hino, and B. L. Tseng. Evolutionary spectral clustering by incorporating temporal smoothness. In KDD, pages 153-162, 2007.
    • (2007) KDD , pp. 153-162
    • Chi, Y.1    Song, X.2    Zhou, D.3    Hino, K.4    Tseng, B.L.5
  • 14
    • 66249109787 scopus 로고    scopus 로고
    • Mining for structural anomalies in graph-based data
    • W. Eberle and L. B. Holder. Mining for structural anomalies in graph-based data. In DMIN, 2007.
    • (2007) DMIN
    • Eberle, W.1    Holder, L.B.2
  • 15
    • 0033204106 scopus 로고    scopus 로고
    • On power-law relationships of the internet topology
    • M. Faloutsos, P. Faloutsos, and C. Faloutsos. On power-law relationships of the internet topology. In SIGCOMM, pages 251-262, 1999.
    • (1999) SIGCOMM , pp. 251-262
    • Faloutsos, M.1    Faloutsos, P.2    Faloutsos, C.3
  • 16
    • 0036497195 scopus 로고    scopus 로고
    • Self-organization and identification of web communities
    • G. Flake, S. Lawrence, C. L. Giles, and F. Coetzee. Self-organization and identification of web communities. IEEE Computer, 35(3):66-71, 2002.
    • (2002) IEEE Computer , vol.35 , Issue.3 , pp. 66-71
    • Flake, G.1    Lawrence, S.2    Giles, C.L.3    Coetzee, F.4
  • 17
    • 84983219752 scopus 로고    scopus 로고
    • Relational link-based ranking
    • F. Geerts, H. Mannila, and E. Terzi. Relational link-based ranking. In VLDB, pages 552-563, 2004.
    • (2004) VLDB , pp. 552-563
    • Geerts, F.1    Mannila, H.2    Terzi, E.3
  • 18
    • 0032092365 scopus 로고    scopus 로고
    • New sampling-based summary statistics for improving approximate query answers
    • P. B. Gibbons and Y. Matias. New sampling-based summary statistics for improving approximate query answers. In SIGMOD, pages 331-342, 1998.
    • (1998) SIGMOD , pp. 331-342
    • Gibbons, P.B.1    Matias, Y.2
  • 20
    • 70350635778 scopus 로고    scopus 로고
    • Network anomaly detection based on eigen equation compression
    • S. Hirose, K. Yamanishi, T. Nakata, and R. Fujimaki. Network anomaly detection based on eigen equation compression. In KDD, pages 1185-1194, 2009.
    • (2009) KDD , pp. 1185-1194
    • Hirose, S.1    Yamanishi, K.2    Nakata, T.3    Fujimaki, R.4
  • 21
    • 12244300520 scopus 로고    scopus 로고
    • Eigenspace-based anomaly detection in computer systems
    • T. Idé and H. Kashima. Eigenspace-based anomaly detection in computer systems. In KDD, pages 440-449, 2004.
    • (2004) KDD , pp. 440-449
    • Idé, T.1    Kashima, H.2
  • 22
    • 43049089442 scopus 로고    scopus 로고
    • Robustness of community structure in networks
    • 046119
    • B. Karrer, E. Levina, and M. E. J. Newman. Robustness of community structure in networks. Phys. Rev. E, 77(046119), 2008.
    • (2008) Phys. Rev. E , vol.77
    • Karrer, B.1    Levina, E.2    Newman, M.E.J.3
  • 23
    • 0242540464 scopus 로고    scopus 로고
    • Bursty and hierarchical structure in streams
    • J. M. Kleinberg. Bursty and hierarchical structure in streams. In KDD, pages 91-101, 2002.
    • (2002) KDD , pp. 91-101
    • Kleinberg, J.M.1
  • 24
    • 33847290520 scopus 로고    scopus 로고
    • Mining anomalies using traffic feature distributions
    • A. Lakhina, M. Crovella, and C. Diot. Mining anomalies using traffic feature distributions. In SIGCOMM, pages 217-228, 2005.
    • (2005) SIGCOMM , pp. 217-228
    • Lakhina, A.1    Crovella, M.2    Diot, C.3
  • 25
    • 52649161757 scopus 로고    scopus 로고
    • Trajectory outlier detection: A partition-and-detect framework
    • J.-G. Lee, J. Han, and X. Li. Trajectory outlier detection: A partition-and-detect framework. In ICDE, pages 140-149, 2008.
    • (2008) ICDE , pp. 140-149
    • Lee, J.-G.1    Han, J.2    Li, X.3
  • 26
    • 18744398132 scopus 로고    scopus 로고
    • The link prediction problem for social networks
    • D. Liben-Nowell and J. Kleinberg. The link prediction problem for social networks. In CIKM, pages 556-559, 2003.
    • (2003) CIKM , pp. 556-559
    • Liben-Nowell, D.1    Kleinberg, J.2
  • 27
    • 84880122671 scopus 로고    scopus 로고
    • Mining behavior graphs for "backtrace" of noncrashing bugs
    • C. Liu, X. Yan, H. Yu, J. Han, and P. S. Yu. Mining behavior graphs for "backtrace" of noncrashing bugs. In SDM, 2005.
    • (2005) SDM
    • Liu, C.1    Yan, X.2    Yu, H.3    Han, J.4    Yu, P.S.5
  • 28
    • 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, 45:167-256, 2003.
    • (2003) SIAM Review , vol.45 , pp. 167-256
    • Newman, M.E.J.1
  • 29
    • 12244268431 scopus 로고    scopus 로고
    • Graph-based anomaly detection
    • C. C. Noble and D. J. Cook. Graph-based anomaly detection. In KDD, pages 631-636, 2003.
    • (2003) KDD , pp. 631-636
    • Noble, C.C.1    Cook, D.J.2
  • 30
    • 70350639546 scopus 로고    scopus 로고
    • BGP-lens: Patterns and anomalies in internet routing updates
    • B. A. Prakash, N. Valler, D. Andersen, M. Faloutsos, and C. Faloutsos. BGP-lens: Patterns and anomalies in internet routing updates. In KDD, pages 1315-1324, 2009.
    • (2009) KDD , pp. 1315-1324
    • Prakash, B.A.1    Valler, N.2    Andersen, D.3    Faloutsos, M.4    Faloutsos, C.5
  • 31
    • 33749583360 scopus 로고    scopus 로고
    • Beyond streams and graphs: Dynamic tensor analysis
    • J. Sun, D. Tao, and C. Faloutsos. Beyond streams and graphs: dynamic tensor analysis. In KDD, pages 374-383, 2006.
    • (2006) KDD , pp. 374-383
    • Sun, J.1    Tao, D.2    Faloutsos, C.3
  • 32
    • 33750925337 scopus 로고    scopus 로고
    • Application of a network dynamics analysis tool to mobile ad hoc networks
    • V. Syrotiuk, K. Shaukat, Y. Kwon, M. Kraetzl, and J. Arnold. Application of a network dynamics analysis tool to mobile ad hoc networks. In MSWiM, pages 36-43, 2006.
    • (2006) MSWiM , pp. 36-43
    • Syrotiuk, V.1    Shaukat, K.2    Kwon, Y.3    Kraetzl, M.4    Arnold, J.5
  • 34
    • 0036206378 scopus 로고    scopus 로고
    • Data mining meets performance evaluation: Fast algorithms for modeling bursty traffic
    • M. Wang, N. H. Chan, S. Papadimitriou, C. Faloutsos, and T. Madhyastha. Data mining meets performance evaluation: Fast algorithms for modeling bursty traffic. In ICDE, pages 507-516, 2002.
    • (2002) ICDE , pp. 507-516
    • Wang, M.1    Chan, N.H.2    Papadimitriou, S.3    Faloutsos, C.4    Madhyastha, T.5
  • 35
    • 33745458995 scopus 로고    scopus 로고
    • Mining compressed frequent-pattern sets
    • D. Xin, J. Han, X. Yan, and H. Cheng. Mining compressed frequent-pattern sets. In VLDB, pages 709-720, 2005.
    • (2005) VLDB , pp. 709-720
    • Xin, D.1    Han, J.2    Yan, X.3    Cheng, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.