1. PARTNERSHIP BETWEEN ATC AND UDEL PRINCIPAL INVESTIGATORS Ashfaq Khokhar, Phd. Alan Scramlin DATA MINING PROJECT

2. DATA MINING ADDING VALUE TO THE VISION PROCESS VISION - From data collection to data storage & retrieval DATA MINING - Discovering knowledge in databases

3. DATA MINING The process of extracting previously unknown, valid, and actionable information from large databases and then using the information to make meaningful knowledge decisions in testing and evaluating Army materiel.

5. RELATING ALERTS TO SUBSEQUENT FAILURES DATA CLASSIFICATION - INITIAL SCORING QUALITY CONTROL - ERROR DETECTION VPG DATA MINING APPLICATIONS

6. DATA MINING PROCESS DETERMINE OBJECTIVES SELECT DATA SET PRE-PROCESS DATA SET (DATA QUALITY) TRANSFORM DATA SET (ANALYTICAL MODEL) MINE THE DATA SET ANALYZE RESULTS ASSIMILATE KNOWLEDGE

7. ASSOCIATION RULES CLASSIFICATION NON-LINEAR PREDICTION MODELS CLUSTERING SEQUENTIAL PATTERNS TIME SEQUENTIAL PATTERNS VISUALIZATION DATA MINING APPLICATIONS

8. CASE STUDY - BRADLEY PQT DATA HOW CAN DATA MINING BE USED WHAT TECHNIQUES ARE NEEDED WHAT ALGORITHMS ARE NEEDED WHAT COTS SOFTWARE CAN BE USED CURRENT PHASE

9. DMAR - DATA MINING ASSOCIATION RULES

10. META-RULES FOR PRUNING DISTRIBUTED PROCESSING TIME-SEQUENTIAL PATTERNS FUTURE WORK

11. FORMING PARTNERSHIPS WITH ACADEMIA EXTENDING RESULTS TO ALL TEST CENTERS VISION WORKING GROUPS ADDING VALUE - TECOM CUSTOMERS DATA MINING HOW ATC HAS TAKEN THE LEAD

12. ACKNOWLEDGEMENTS TO: INFORMATION MANAGEMENT AUTOMATION TEAM Eileen Viars Doug Gipprich RAM/ILS EVALUATION TEAM Nellie Duprey Bill Males