The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON ADVANCES IN ENGINEERING EDUCATION
Transactions ID Number: 29-490
Full Name: Sylvia Encheva
Position: Professor
Age: ON
Sex: Female
Address: Stord/Haugesund University College, Bjornsonsg. 45, 5528 Haugesund
Country: NORWAY
Tel: 52702685
Tel prefix: 47
Fax: 52702601
E-mail address: sbe@hsh.no
Other E-mails:
Title of the Paper: Problem Identification Based on Fuzzy Functions
Authors as they appear in the Paper: Sylvia Encheva, Sharil Tumin
Email addresses of all the authors: sbe@hsh.no, edpst@it.uib.no
Number of paper pages: 10
Abstract: The creation of knowledge from information can be promoted by proper representations of information which make the inherent logical structure of the information transparent. Since concepts are the basic units of human thought and hence the basic structures of logic, the logical structure of information is based on concepts and concept systems. Methods from the theory of formal concept analysis and frequent set mining are applied for automated extraction of information from students' responses to preliminary tests about their lack of knowledge or misconception of fundamental terms and skills. Personalized recommendations are suggested to each student once possible difficulties in learning a new subject are detected.
Keywords: Decision support services, uncertainty management
EXTENSION of the file: .pdf
Special (Invited) Session: Frequent Sets Mining for Problem Identification
Organizer of the Session: 624-115
How Did you learn about congress:
IP ADDRESS: 193.75.57.119
