Random rules from data streams

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2013, Pages 813-814

  Almeida, Ezilda ^a   Kosina, Petr ^a,b   Gama, João ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b MASARYK UNIVERSITY   (Czech Republic)

Author keywords

Classification; Data streams; Random rules; Rule learning

Indexed keywords

DATA STREAM; DATA STREAM MINING; DECISION RULES; FLEXIBLE MODEL; PREDICTION TASKS; RANDOM FEATURES; RANDOM RULES; RULE LEARNING;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA COMMUNICATION SYSTEMS;

DATA MINING;

EID: 84877997557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2480362.2480518     Document Type: Conference Paper

References (5)

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3. J. Gama and P. Kosina. Learning decision rules from data streams. In IJCAI, pages 1255-1260. AAAI, Menlo Park, USA, 2011.
4. M. A. Bramer. An information-theoretic approach to the pre-pruning of classification rules. In Intelligent Information Processing, pages pp. 201-212, Kluwer, 2002.
5. F. Stahl and M. Bramer. Random prism: An alternative to random forests. In ICITAAI, pages pp. 5-18. Cambridge, UK, 2011.