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kborne-PetaSky-oct2012

kborne-PetaSky-oct2012

The LSST ISSC Research

The LSST ISSC Research Team • Chairperson: K.Borne, GMU • Core team: 3 astronomers + 2 = – K.Borne (astroinformatics) – Eric Feigelsen, Tom Loredo (astrostatistics) – Jogesh Babu (statistics) – Alex Gray (computer science, data mining) • Full team: ~50 scientists – ~60% astronomers – ~30% statisticians – ~10% data mining, machine learning computer scientists 42

Some key astronomy problems that require informatics and statistical techniques … Astroinformatics & Astrostatistics! • Probabilistic Cross-Matching of objects from different catalogues • The distance problem (e.g., Photometric Redshift estimators) • Star-Galaxy separation ; QSO-Star separation • Cosmic-Ray Detection in images • Supernova Detection and Classification • Morphological Classification (galaxies, AGN, gravitational lenses, ...) • Class and Subclass Discovery (brown dwarfs, methane dwarfs, ...) • Dimension Reduction = Correlation Discovery • Learning Rules for improved classifiers • Classification of massive data streams • Real-time Classification of Astronomical Events • Clustering of massive data collections • Novelty, Anomaly, Outlier Detection in massive databases 43

Data Mining with Decision Trees: An Introduction to CART®
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