메뉴 건너뛰기




Volumn 44, Issue 3, 2011, Pages 724-738

Multi-label classification and extracting predicted class hierarchies

Author keywords

Adaptive resonance theory (ART); Hierarchy extraction; Multi label classification; Text mining

Indexed keywords

ADAPTIVE RESONANCE THEORY; CLASS HIERARCHIES; FUZZY ADAPTIVE; HIERARCHY EXTRACTION; MULTI-LABEL; MULTI-LABEL CLASSIFICATIONS; MULTIPLE CLASS; PRE-DEFINED CLASS; TEXT MINING;

EID: 78649318170     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.09.010     Document Type: Article
Times cited : (40)

References (45)
  • 1
  • 3
    • 0242659655 scopus 로고    scopus 로고
    • Hierarchical text categorization using neural networks
    • M. Ruiz, and P. Srinivasan Hierarchical text categorization using neural networks Information Retrieval 5 1 2002 87 118
    • (2002) Information Retrieval , vol.5 , Issue.1 , pp. 87-118
    • Ruiz, M.1    Srinivasan, P.2
  • 11
    • 33749582181 scopus 로고    scopus 로고
    • Automatically learning document taxonomies for hierarchical classification
    • New York, NY, USA
    • K. Punera, S. Rajan, J. Ghosh, Automatically learning document taxonomies for hierarchical classification, in: International World Wide Web Conference, ACM, New York, NY, USA, 2005, pp. 10101011.
    • (2005) International World Wide Web Conference, ACM , pp. 1010-1011
    • Punera, K.1    Rajan, S.2    Ghosh, J.3
  • 13
    • 84880663504 scopus 로고    scopus 로고
    • The cluster-abstraction model: Unsupervised learning of topic hierarchies from text data
    • T. Hofmann, The cluster-abstraction model: unsupervised learning of topic hierarchies from text data, in: International Joint Conference on Artificial Intelligence, vol. 16, 1999, pp. 682687.
    • (1999) International Joint Conference on Artificial Intelligence , vol.16 , pp. 682-687
    • Hofmann, T.1
  • 18
    • 60349100473 scopus 로고    scopus 로고
    • Discovery of hierarchical thematic structure in text collections with adaptive resonance theory
    • L. Massey Discovery of hierarchical thematic structure in text collections with adaptive resonance theory Neural Computing & Applications 18 3 2009 261 273
    • (2009) Neural Computing & Applications , vol.18 , Issue.3 , pp. 261-273
    • Massey, L.1
  • 19
    • 19344374461 scopus 로고    scopus 로고
    • Self-organizing information fusion and hierarchical knowledge discovery: A new framework using ARTMAP neural networks
    • G. Carpenter, S. Martens, and O. Ogas Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks Neural Networks 18 3 2005 287 295
    • (2005) Neural Networks , vol.18 , Issue.3 , pp. 287-295
    • Carpenter, G.1    Martens, S.2    Ogas, O.3
  • 21
    • 70349847753 scopus 로고    scopus 로고
    • ART-based neural networks for multi-label classification
    • E.P. Sapozhnikova, ART-based neural networks for multi-label classification, in: IDA, 2009, pp. 167177.
    • (2009) IDA , pp. 167-177
    • Sapozhnikova, E.P.1
  • 22
    • 0029009071 scopus 로고
    • Adaptive resonance associative map
    • A. Tan Adaptive resonance associative map Neural Networks 8 3 1995 437 446
    • (1995) Neural Networks , vol.8 , Issue.3 , pp. 437-446
    • Tan, A.1
  • 23
    • 33947681316 scopus 로고    scopus 로고
    • ML-kNN: A lazy learning approach to multi-label learning
    • M. Zhang, and Z. Zhou ML-kNN: a lazy learning approach to multi-label learning Pattern Recognition 40 7 2007 2038 2048
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.1    Zhou, Z.2
  • 24
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • R. Schapire, and Y. Singer BoosTexter: a boosting-based system for text categorization Machine Learning 39 2 2000 135 168
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 135-168
    • Schapire, R.1    Singer, Y.2
  • 25
    • 0001858630 scopus 로고    scopus 로고
    • A constrained edit distance between unordered labeled trees
    • K. Zhang A constrained edit distance between unordered labeled trees Algorithmica 15 3 1996 205 222
    • (1996) Algorithmica , vol.15 , Issue.3 , pp. 205-222
    • Zhang, K.1
  • 27
    • 0021776661 scopus 로고
    • A massively parallel architecture for a self-organizing neural pattern recognition machine
    • G. Carpenter, and S. Grossberg A massively parallel architecture for a self-organizing neural pattern recognition machine Computer Vision, Graphics, and Image Processing 37 1 1987 54 115
    • (1987) Computer Vision, Graphics, and Image Processing , vol.37 , Issue.1 , pp. 54-115
    • Carpenter, G.1    Grossberg, S.2
  • 28
    • 19344363436 scopus 로고    scopus 로고
    • Predictive neural networks for gene expression data analysis
    • A. Tan, and H. Pan Predictive neural networks for gene expression data analysis Neural Networks 18 2005 297 306
    • (2005) Neural Networks , vol.18 , pp. 297-306
    • Tan, A.1    Pan, H.2
  • 29
    • 0032123427 scopus 로고    scopus 로고
    • Distributed ARTMAP: A neural network for fast distributed supervised learning
    • G. Carpenter, B. Milenova, and B. Noeske Distributed ARTMAP: a neural network for fast distributed supervised learning Neural Networks 11 5 1998 793 813
    • (1998) Neural Networks , vol.11 , Issue.5 , pp. 793-813
    • Carpenter, G.1    Milenova, B.2    Noeske, B.3
  • 30
    • 0029341754 scopus 로고
    • ART-EMAP: A neural network architecture for learning and prediction by evidence accumulation
    • G. Carpenter, and W. Ross ART-EMAP: a neural network architecture for learning and prediction by evidence accumulation IEEE Transactions on Neural Networks 6 1995 805 818
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 805-818
    • Carpenter, G.1    Ross, W.2
  • 31
    • 0026923589 scopus 로고
    • Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
    • G. Carpenter, S. Grossberg, N. Markuzon, J. Reynolds, and D. Rosen Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps IEEE Transactions on Neural Networks 3 5 1992 698 713
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.5 , pp. 698-713
    • Carpenter, G.1    Grossberg, S.2    Markuzon, N.3    Reynolds, J.4    Rosen, D.5
  • 32
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund, and R. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computer and System Sciences 55 1 1997 119 139
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 34
    • 38049123909 scopus 로고    scopus 로고
    • Random K-Labelsets: An ensemble method for multilabel classification
    • G. Tsoumakas, and I. Vlahavas Random K-Labelsets: an ensemble method for multilabel classification Lecture Notes in Computer Science vol. 4701 2007 406
    • (2007) Lecture Notes in Computer Science , vol.4701 , pp. 406
    • Tsoumakas, G.1    Vlahavas, I.2
  • 35
    • 23844449054 scopus 로고    scopus 로고
    • Graph matching: Theoretical foundations, algorithms, and applications
    • H. Bunke Graph matching: theoretical foundations, algorithms, and applications Proceedings of the Vision Interface 2000 82 88
    • (2000) Proceedings of the Vision Interface , pp. 82-88
    • Bunke, H.1
  • 36
    • 0018491659 scopus 로고
    • The tree-to-tree correction problem
    • K. Tai The tree-to-tree correction problem Journal of the ACM (JACM) 26 3 1979 422 433
    • (1979) Journal of the ACM (JACM) , vol.26 , Issue.3 , pp. 422-433
    • Tai, K.1
  • 37
    • 84958593114 scopus 로고    scopus 로고
    • Similarity measures for object-oriented case representations
    • R. Bergmann, and A. Stahl Similarity measures for object-oriented case representations Lecture Notes in Computer Science 1998 25 36
    • (1998) Lecture Notes in Computer Science , pp. 25-36
    • Bergmann, R.1    Stahl, A.2
  • 41
    • 0028399555 scopus 로고
    • Some MAX SNP-Hard results concerning unordered labeled trees
    • K. Zhang, and T. Jiang Some MAX SNP-Hard results concerning unordered labeled trees Information Processing Letters 49 5 1994 249 254
    • (1994) Information Processing Letters , vol.49 , Issue.5 , pp. 249-254
    • Zhang, K.1    Jiang, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.