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Abstract THE APPLICATIONS OF DATA MINING TECHNOLOGY IN THE FIELD OF FAULT DIAGNOSIS BECOME A HOT TOPIC FOR DECISION-MAKERS AS IT IS THE SEARCH FOR VALUABLE, NON TRIVIAL INFORMATION IN A LARGE AMOUNT OF HISTORICAL DATA USING THE ARTIFICIAL INTELLIGENCE TECHNIQUES. DATA MINING DIFFERS from OTHER DATA ACCESS MECHANISMS BOTH IN PROCESS AND TECHNIQUE. A TYPICAL DATA MINING SYSTEM CONSISTS CONSISTS OF A DATA MINING MODELS IN THE PROCESS. THE MODELS CAN TAKE THA FORM OF A GRAPHICAL REPRESENTATION. THE MODELS CAN TAKE THE FORM OF A GRAPHICAL REPRESENTATION, A NEURAL NETWORK OR EVEN A COLLECTION OF RULES. such models capture the essential characteristics of the undeerlying data, helpiing humans gain new insights and knowledge from the data. the actual data is obtained via a database connection. for classification models, the result of the built model is the bast prediction for target value in each record of the stored databased. |