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DATA MINING PROJECT

DATA MINING PROJECT. PARTNERSHIP BETWEEN ATC AND UDEL PRINCIPAL INVESTIGATORS Ashfaq Khokhar, Phd. Alan Scramlin. DATA MINING ADDING VALUE TO THE VISION PROCESS. VISION - From data collection to data storage & retrieval DATA MINING - Discovering knowledge in databases. DATA MINING.

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DATA MINING PROJECT

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

  2. DATA MININGADDING 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 informationfrom large databases and then using the information • to make meaningful knowledge decisions in testing andevaluating Army materiel.

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

  5. 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

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

  7. CURRENT PHASE • 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

  8. DMAR - DATA MINING ASSOCIATION RULES

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

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

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

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