Jumping emerging patterns with occurrence count in image classification

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

Volumn 5012 LNAI, Issue , 2008, Pages 904-909

  Kobyliński, Łukasz ^a   Walczak, Krzysztof ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CASE BASED REASONING; DATA MINING; DATABASE SYSTEMS; KNOWLEDGE REPRESENTATION; LOGIC PROGRAMMING;

JUMPING EMERGING PATTERNS (JEP); OCCURRENCE COUNT (OCCJEP); PATTERN-BASED CLASSIFIERS; TRANSACTION DATABASES;

IMAGE CLASSIFICATION;

EID: 44649141286     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68125-0_91     Document Type: Conference Paper

References (4)

1. Li, J., Dong, G., Ramamohanarao, K.: Making use of the most expressive jumping emerging patterns for classification. Knowl. Inf. Syst. 3, 1-29 (2001)
2. Terlecki, P., Walczak, K.: Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds.) RSFDGrC 2007. LNCS (LNAI), vol. 4482, Springer, Heidelberg (2007)
3. Kobyliński, L., Walczak, K.: Class Association Rules with Occurrence Count in Image Classification. TASK Quarterly 11, 35-45 (2007)
4. Wang, J.Z., Li, J., Wiederhold, G.: SIMPLIcity: Semantics-sensitive integrated matching for picture libraries. IEEE Trans. on Patt. Anal, and Machine Intell. 23, 947-963 (2001)