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Detector/Data Characterization Robot Towards Data Mining

Detector/Data Characterization Robot Towards Data Mining. Soumya D. Mohanty Max Planck Institut f ü r Gravitationsphysik LIGO-G020036-00-Z. Using a database: Data Mining & Data Exploration. Different but complementary approaches. Data exploration :

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Detector/Data Characterization Robot Towards Data Mining

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  1. Detector/Data Characterization RobotTowards Data Mining Soumya D. Mohanty Max Planck Institut für Gravitationsphysik LIGO-G020036-00-Z Soumya D. Mohanty, AEI

  2. Using a database: Data Mining & Data Exploration • Different but complementary approaches. • Data exploration: • I want to see the time series corresponding to a bunch of triggers that I selected from a database. (Then do more analysis on this selected data.) • Typically, Follow up data is short, Quick look environment needed, no specific queries • Data Mining: • Can the transients seen over a month be classified into groups? What was the rate of transients in each group as a function of time (Maybe some types occur in the day, some occur in the night). (Then use this information to quantify the quality of long data stretches). • Purely database based; Re-analysis of raw data may be impractical Soumya D. Mohanty, AEI

  3. DCR: Control the false alarm rate DATABASE Raw Data to Database • Any such transformation will introduce errors • Spurious information • Missing genuine stuff Information Transformer Raw noisy data Soumya D. Mohanty, AEI

  4. Control on False Alarm Rate • Important for Data mining • Statistical analysis done on database itself since reanalysis of long stretch of data expensive • Need to put error bars • Not so important for Data exploration • Looking for information about specific events • Each explorer will work with his/her own short data stretch Soumya D. Mohanty, AEI

  5. Soumya Mohanty, Soma Mukherjee, CQG, 2002. Restricted DCR (rDCR) Initial Design of DCR Soumya D. Mohanty, AEI

  6. Implementation • C++ code for restricted DCR algorithm ready • It will run in GEO using the GEO++ library • Data mining issues under active investigation • Earlier talks on Automated classification, non-stationarity, line removal transient test • Data mining will be done using Matlab’s database toolbox http://www.aei.mpg.de/~mohanty/DCR/DCRindex.html Soumya D. Mohanty, AEI

  7. Must Use statistically clean algorithms Future View data as a single multivariate time series DCR Detect change points Database All channels Transform the multivariate data Example: construct cross-correlation of two channels Design Data Mining Soumya D. Mohanty, AEI

  8. DCR on the Web Soumya D. Mohanty, AEI

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