Exploiting Maximal Emerging Patterns for classification

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3339, Issue , 2004, Pages 1063-1068

  Wang, Zhou ^a   Fan, Hongjian ^a   Ramamohanarao, Kotagiri ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Bayesian learning; Classification; Emerging Patterns; Maximal Emerging Patterns

Indexed keywords

DATA MINING; DECISION MAKING; DECISION THEORY; LEARNING SYSTEMS; PROBABILITY; PROBLEM SOLVING; TREES (MATHEMATICS);

BAYSIAN LEARNING; CLASSIFICATION; EMERGING PATTERNS; MAXIMAL EMERGING PATTERNS;

PATTERN RECOGNITION;

EID: 22944453358     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30549-1_102     Document Type: Conference Paper

References (11)

1. Dong, G., Li, J.: Efficient mining of emerging patterns: Discovering trends and differences. In: Proc. KDD'99, San Diego, CA, USA (1999) 43-52
2. Dong, G., Zhang, X., Wong, L., Li, J.: Classification by aggregating emerging patterns. In: Proc. 2nd Int'l Conf. on Discovery Science (1999) 30-42
3. Li, J., Dong, G., Ramamohanarao, K.: Making use of the most expressive jumping emerging patterns for classification. Knowledge and Information Systems 3 (2001) 131-145
4. Bailey, J., Manoukian, T., Ramamohanarao, K.: Fast algorithms for mining emerging patterns. In: Proc. PKDD'02, Helsinki, Finland (2002)
5. Wang, Z.: Classification based on maximal contrast patterns. Master's thesis, University of Melbourne (2004)
6. Domingos, P., Pazzani, M.J.: Beyond independence: Conditions for the optimality of the simple bayesian classifier. In: Proc. ICML'96. (1996) 105-112
7. Meretakis, D., Wuthrich, B.: Extending naive bayes classifiers using long itemsets. In: Proc. KDD'99. (1999) 165-174
8. Fan, H., Ramamohanarao, K.: A bayesian approach to use emerging patterns for classification. In: Proc. 14th Australasian Database Conference (ADC2003), Adelaide, Australia (2003) 39-48
9. Blake, C.L., Merz, C.J.: UCI repository of machine learning databases (1998)
10. Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, CA (1993)
11. Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Proc. KDD'98, New York, USA (1998) 80-86