Learning task models in ill-defined domain using an hybrid knowledge discovery framework

Knowledge-Based Systems

Volumn 24, Issue 1, 2011, Pages 176-185

  Nkambou, Roger ^a   Fournier Viger, Philippe ^a   Nguifo, Engelbert Mephu ^b  

^a UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

^b UNIVERSITÉ CLERMONT AUVERGNE   (France)

Author keywords

Data mining; Intelligent Tutoring Systems; Knowledge acquisition; Knowledge discovery; Robotics

Indexed keywords

ASSOCIATION RULES DISCOVERY; DOMAIN EXPERTS; DOMAIN KNOWLEDGE; GUIDE LEARNERS; INTELLIGENT TUTORING SYSTEM; KNOWLEDGE DISCOVERY; KNOWLEDGE DISCOVERY FRAMEWORK; LEARNING ACTIVITY; LEARNING TASKS; META-KNOWLEDGE; PATH PLANNING PROBLEMS; PROBLEM SPACE; SEQUENTIAL-PATTERN MINING; TASK MODELS;

ASSOCIATIVE PROCESSING; COMPUTER AIDED INSTRUCTION; EDUCATION COMPUTING; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; PROBLEM SOLVING; ROBOTICS;

DATA MINING;

EID: 77957979763     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.08.002     Document Type: Article

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