Multi-label lazy associative classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4702 LNAI, Issue , 2007, Pages 605-612

  Veloso, Adriano ^a   Meira Jr , Wagner ^a   Gonçalves, Marcos ^a   Zaki, Mohammed ^b  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING; TEXT PROCESSING;

GENE FUNCTIONAL PREDICTION; MULTI-LABEL CLASSIFICATION; SINGLE-LABEL CLASSIFICATION; TEXT CATEGORIZATION;

CLASSIFICATION (OF INFORMATION);

EID: 38049177740     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74976-9_64     Document Type: Conference Paper

References (7)

1. Boutell, M., Luo, I., Shen, X., Brown, C.: Learning multi-label scene classification. Pattern Recognition 37, 1757-1771 (2004)
2. Comité, F., Gilleron, R., Tommasi, M.: Learning multi-label alternating decision trees from texts and data. In: Proc. of the Intl. Conf. on Machine Learning and Data Mining in Pattern Recognition, pp. 35-49 (2003)
3. Elisseeff, A., Weston, I.: A kernel method for multi-labelled classification. Advances in Neural Information Processing Systems 14, 681-687 (2001)
4. Holte, R., Acker, L., Porter, B.: Concept learning and the problem of small disjuncts. In: Proc. of the Intl. Joint Conf. on Artificial Intelligence, pp. 813-818 (1989)
5. Schapire, R., Singer, Y.: Boostexter: A boosting-based system for text categorization. Machine Learning 39, 135-168 (2000)
6. Thabtah, F., Cowling, P., Peng, Y.: Multiple labels associative classification. Knowledge and Information Systems 9, 109-129 (2006)
7. Zhang, M., Zhou, Z.: Ml-knn: A lazy learning approach to multi-label learning. Pattern Recognition 40, 2038-2048 (2007)