List of Figures

• A Knowledge Rich CBR System.
• A Knowledge Poor CBR System.
• Dependency on Knowledge and Data for Some Existing Systems.
• The CBR Cycle.
• The Data Mining Process.
• An Example Bayesian Network.
• A Naive Bayesian Network.
• X is Independent of Y Given Z.
• A Bayesian Network Representing the Distribution P.
• Some Possible Structures of the Network.
• A Bayesian Network for Accident Causes.
• Architecture of the Proposed Integrated System (CBRDM).
• Pseudocode for Proposed System (CBRDM).
• The Network Definition File rcomp.bbn
• Excerpt From Data File.
• The Bayesian Network Produced.
• Accumulated Number of Differences Between Output from KATE and CBRDM.
• Experts Evaluation of Results.
• Plot of Feature Values for INVENTORY_INST_ID.
• Plot of Feature Values for FM_CODE.
• Plot of Feature Values for FD_NO.
• Plot of Feature Values for FAILURE_EVENT_REM_CODE.
• Plot of Feature Values for M_DOWNTIME.