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Volumn , Issue , 2013, Pages 82-93

Discriminative feature selection for uncertain graph classification

Author keywords

[No Author keywords available]

Indexed keywords

ALUMINUM COMPOUNDS; BRANCH AND BOUND METHOD; DATA MINING; DYNAMIC PROGRAMMING; FEATURE EXTRACTION; GRAPHIC METHODS; NEURODEGENERATIVE DISEASES; NEUROIMAGING; PROBABILITY DISTRIBUTIONS; UNCERTAINTY ANALYSIS; ALGORITHMS;

EID: 84945954858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972832.10     Document Type: Conference Paper
Times cited : (41)

References (28)
  • 1
    • 4544291404 scopus 로고    scopus 로고
    • Mining molecular fragments: Finding relevant substructures of molecules
    • C. Borgelt and M. Berthold. Mining molecular fragments: Finding relevant substructures of molecules. In ICDM, pages 211-218, 2002.
    • (2002) ICDM , pp. 211-218
    • Borgelt, C.1    Berthold, M.2
  • 2
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: Graph theoretical analysis of structural and functional systems
    • E. Bullmore and O. Sporns. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3):186-198, 2009.
    • (2009) Nature Reviews Neuroscience , vol.10 , Issue.3 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 4
    • 85008256270 scopus 로고    scopus 로고
    • Identifying bug signatures using discrimative graph mining
    • H. Cheng, D. Lo, Y. Zhou, X. Wang, and X. Yan. Identifying bug signatures using discrimative graph mining. In ISSTA, pages 141-152, 2009.
    • (2009) ISSTA , pp. 141-152
    • Cheng, H.1    Lo, D.2    Zhou, Y.3    Wang, X.4    Yan, X.5
  • 5
    • 77956194153 scopus 로고    scopus 로고
    • Direct mining of discriminative patterns for classifying uncertain data
    • C. Gao and J. Wang. Direct mining of discriminative patterns for classifying uncertain data. In KDD, pages 861-870, 2010.
    • (2010) KDD , pp. 861-870
    • Gao, C.1    Wang, J.2
  • 6
    • 84863338185 scopus 로고    scopus 로고
    • Learning brain connectivity of azheimer's disease from neuroimaging data
    • S. Huang, J. Li, L. Sun, J. Ye, K. Chen, and T. Wu. Learning brain connectivity of azheimer's disease from neuroimaging data. In NIPS, pages 808-816, 2009.
    • (2009) NIPS , pp. 808-816
    • Huang, S.1    Li, J.2    Sun, L.3    Ye, J.4    Chen, K.5    Wu, T.6
  • 7
    • 80052656050 scopus 로고    scopus 로고
    • Brain effective connectivity modeling for Alzheimer's disease by sparse Gaussian Bayesian network
    • S. Huang, J. Li, J. Ye, A. Fleisher, K. Chen, T. Wu, and E. Reiman. Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. In KDD, pages 931-939, 2011.
    • (2011) KDD , pp. 931-939
    • Huang, S.1    Li, J.2    Ye, J.3    Fleisher, A.4    Chen, K.5    Wu, T.6    Reiman, E.7
  • 8
    • 77249118678 scopus 로고    scopus 로고
    • Learning brain connectivity of Alzheimer's disease by exploratory graphical models
    • S. Huang, J. Li, J. Ye, A. Fleisher, T.Wu, K. Chen, and E. Reiman. Learning brain connectivity of alzheimer's disease by exploratory graphical models. NeuroImage, 50:935-949, 2010.
    • (2010) NeuroImage , vol.50 , pp. 935-949
    • Huang, S.1    Li, J.2    Ye, J.3    Fleisher, A.4    Wu, T.5    Chen, K.6    Reiman, E.7
  • 9
    • 84974733299 scopus 로고    scopus 로고
    • An aprioribased algorithm for mining frequent substructures from graph data
    • A. Inokuchi, T. Washio, and H. Motoda. An aprioribased algorithm for mining frequent substructures from graph data. In ECML/PKDD, pages 13-23, 2000.
    • (2000) ECML/PKDD , pp. 13-23
    • Inokuchi, A.1    Washio, T.2    Motoda, H.3
  • 10
    • 79957874191 scopus 로고    scopus 로고
    • LTS: Discriminative subgraph mining by learning from search history
    • N. Jin and W. Wang. LTS: Discriminative subgraph mining by learning from search history. In ICDE, pages 207-218, 2011.
    • (2011) ICDE , pp. 207-218
    • Jin, N.1    Wang, W.2
  • 11
    • 77954691039 scopus 로고    scopus 로고
    • GAIA: Graph classification using evolutionary computation
    • N. Jin, C. Young, and W. Wang. GAIA: graph classification using evolutionary computation. In SIGMOD, pages 879-890, 2010.
    • (2010) SIGMOD , pp. 879-890
    • Jin, N.1    Young, C.2    Wang, W.3
  • 12
    • 80052650977 scopus 로고    scopus 로고
    • Discovering highly reliable subgraphs in uncertain graphs
    • R. Jin, L. Liu, and C. Aggarwal. Discovering highly reliable subgraphs in uncertain graphs. In KDD, pages 992-1000, 2011.
    • (2011) KDD , pp. 992-1000
    • Jin, R.1    Liu, L.2    Aggarwal, C.3
  • 13
    • 80052686799 scopus 로고    scopus 로고
    • Dual active feature and sample selection for graph classification
    • X. Kong, W. Fan, and P. S. Yu. Dual active feature and sample selection for graph classification. In KDD, pages 654-662, 2011.
    • (2011) KDD , pp. 654-662
    • Kong, X.1    Fan, W.2    Yu, P.S.3
  • 14
    • 77956201235 scopus 로고    scopus 로고
    • Semi-supervised feature selection for graph classification
    • X. Kong and P. S. Yu. Semi-supervised feature selection for graph classification. In KDD, pages 793-802, 2010.
    • (2010) KDD , pp. 793-802
    • Kong, X.1    Yu, P.S.2
  • 15
    • 78149312583 scopus 로고    scopus 로고
    • Frequent subgraph discovery
    • M. Kuramochi and G. Karypis. Frequent subgraph discovery. In ICDM, pages 313-320, 2001.
    • (2001) ICDM , pp. 313-320
    • Kuramochi, M.1    Karypis, G.2
  • 16
    • 12244294066 scopus 로고    scopus 로고
    • A quickstart in frequent structure mining can make a difference
    • S. Nijssen and J. Kok. A quickstart in frequent structure mining can make a difference. In KDD, pages 647-652, 2004.
    • (2004) KDD , pp. 647-652
    • Nijssen, S.1    Kok, J.2
  • 17
    • 79953907805 scopus 로고    scopus 로고
    • Efficient discovery of frequent subgraph patterns in uncertain graph databases
    • O. Papapetrou, E. Ioannou, and D. Skoutas. Efficient discovery of frequent subgraph patterns in uncertain graph databases. In EDBT, pages 355-366, 2011.
    • (2011) EDBT , pp. 355-366
    • Papapetrou, O.1    Ioannou, E.2    Skoutas, D.3
  • 18
    • 79952560845 scopus 로고    scopus 로고
    • K-nearest neighbors in uncertain graphs
    • M. Potamias, F. Bonchi, A. Gionis, and G. Kollios. k-nearest neighbors in uncertain graphs. In VLDB, pages 997-1008, 2010.
    • (2010) VLDB , pp. 997-1008
    • Potamias, M.1    Bonchi, F.2    Gionis, A.3    Kollios, G.4
  • 19
    • 77956206690 scopus 로고    scopus 로고
    • Mining uncertain data with probabilistic guarantees
    • L. Sun, R. Cheng, D. Cheung, and J. Cheng. Mining uncertain data with probabilistic guarantees. In KDD, pages 273-282, 2010.
    • (2010) KDD , pp. 273-282
    • Sun, L.1    Cheng, R.2    Cheung, D.3    Cheng, J.4
  • 21
    • 84872502378 scopus 로고    scopus 로고
    • Abnormalities in resting-state functional connectivity in early human immunodeficiency virus infection
    • X. Wang, P. Foryt, R. Ochs, J. Chung, Y. Wu, T. Parrish, and A. Ragin. Abnormalities in resting-state functional connectivity in early human immunodeficiency virus infection. Brain Connectivity, 1(3):207, 2011.
    • (2011) Brain Connectivity , vol.1 , Issue.3 , pp. 207
    • Wang, X.1    Foryt, P.2    Ochs, R.3    Chung, J.4    Wu, Y.5    Parrish, T.6    Ragin, A.7
  • 22
    • 57149124218 scopus 로고    scopus 로고
    • Mining significant graph patterns by leap search
    • X. Yan, H. Cheng, J. Han, and P. Yu. Mining significant graph patterns by leap search. In SIGMOD, pages 433-444, 2008.
    • (2008) SIGMOD , pp. 433-444
    • Yan, X.1    Cheng, H.2    Han, J.3    Yu, P.4
  • 23
    • 78149333073 scopus 로고    scopus 로고
    • GSpan: Graph-based substructure pattern mining
    • X. Yan and J. Han. gSpan: Graph-based substructure pattern mining. In ICDM, pages 721-724, 2002.
    • (2002) ICDM , pp. 721-724
    • Yan, X.1    Han, J.2
  • 24
    • 84863753859 scopus 로고    scopus 로고
    • Efficient subgraph search over large uncertain graphs
    • Y. Yuan, G. Wang, H. Wang, and L. Chen. Efficient subgraph search over large uncertain graphs. In VLDB, pages 876-886, 2011.
    • (2011) VLDB , pp. 876-886
    • Yuan, Y.1    Wang, G.2    Wang, H.3    Chen, L.4
  • 25
    • 80052666240 scopus 로고    scopus 로고
    • A multi-task learning formulation for predicting disease progression
    • J. Zhou, L. Yuan, J. Liu, and J. Ye. A multi-task learning formulation for predicting disease progression. In KDD, pages 814-822, 2011.
    • (2011) KDD , pp. 814-822
    • Zhou, J.1    Yuan, L.2    Liu, J.3    Ye, J.4
  • 26
    • 77956193984 scopus 로고    scopus 로고
    • Discovering frequent subgraphs over uncertain graph databases under probabilistic semantics
    • Z. Zou, H. Gao, and J. Li. Discovering frequent subgraphs over uncertain graph databases under probabilistic semantics. In KDD, pages 633-642, 2010.
    • (2010) KDD , pp. 633-642
    • Zou, Z.1    Gao, H.2    Li, J.3
  • 27
    • 74549169009 scopus 로고    scopus 로고
    • Frequent subgraph pattern mining on uncertain graph data
    • Z. Zou, J. Li, H. Gao, and S. Zhang. Frequent subgraph pattern mining on uncertain graph data. In CIKM, pages 583-592, 2009.
    • (2009) CIKM , pp. 583-592
    • Zou, Z.1    Li, J.2    Gao, H.3    Zhang, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.