Fuzzy OLAP association rules mining based novel approach for multiagent cooperative learning

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

Volumn 3029, Issue , 2004, Pages 56-65

  Kaya, Mehmet ^a   Alhajj, Reda ^b  

^a FIRAT UNIVERSITY   (Turkey)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA MINING; INFORMATION ANALYSIS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBLEM SOLVING; ARTIFICIAL INTELLIGENCE; ASSOCIATION RULES; EXPERT SYSTEMS; MULTI AGENT SYSTEMS;

COOPERATIVE LEARNING; FUZZINESS; MULTIAGENT LEARNING; ONLINE ANALYTICAL PROCESSING (OLAP); ACTION SELECTION MODEL; ASSOCIATION RULES MINING; LEARNING APPROACH; MULTI-AGENT LEARNING; MULTIPLE LEVELS; ON-LINE ANALYTICAL PROCESSING; VISUAL ENVIRONMENTS;

MULTI AGENT SYSTEMS; DATA MINING;

EID: 9444227673     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24677-0_7     Document Type: Conference Paper

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