A Fuzzy Approach Towards Inferential Data Mining

Computers and Industrial Engineering

Volumn 35, Issue 1-2, 1998, Pages 267-270

  Rubin, Stuart H ^a  

^a CENTRAL MICHIGAN UNIVERSITY   (United States)

Author keywords

Data Mining; Expert Systems; Formula Discovery; Fuzzy Logic; Prediction; Randomization

Indexed keywords

DECISION SUPPORT SYSTEMS; FUZZY SETS; INFERENCE ENGINES; KNOWLEDGE ACQUISITION; NATURAL LANGUAGE PROCESSING SYSTEMS;

DATA RANDOMIZATION;

DATA MINING;

EID: 0032183159     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0360-8352(98)00049-7     Document Type: Article

References (6)

1. Brill, E. and R.J. Mooney (1997). An overview of empirical natural language processing. AI magazine, 18, 13-24
2. Chaitin, G.J., (1975). Randomness and mathematical proof, Scientific American, 232, 47-52.
3. Rubin, S.H., (1996). Computer-aided instruction in engineering education and training. Computers & Industrial Engineering 30, 765-779.
4. Soloway, E., (1998). No one is making money in educational software. Communications of the ACM, 41, 11-15.
5. Zadeh, L. (1997). Address given to the Systems, Man, and Cybernetics Society, Orlando, FL.
6. Zadeh, L. and J. Kacprzyk (1992). Fuzzy logic for the management of uncertainty. John Wiley & Sons, New York.