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DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research

DB/IR Research Operations and Information Management Department University of Pennsylvania, The Wharton School. DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research. Research projects. Data integration (Balaji Padmanabhan) imputation methods for addressing data quality

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DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research

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  1. DB/IR ResearchOperations and Information Management DepartmentUniversity of Pennsylvania, The Wharton School DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research

  2. Research projects • Data integration (Balaji Padmanabhan) • imputation methods for addressing data quality • mining incomplete data • Distributed IR (Kartik Hosanagar) • decision-theoretic approaches to source selection and query termination • stochastic NLP: completeness v. response time • Graph models (Shawndra Hill) • object identification and de-duplication • efficient storage of dynamic graphs • Numerical algorithms for large datasets (Chris Lee) • accelerated algorithms for computing PageRank • tree-based methods for censored/survival data • Text mining (Steven Kimbrough, Thomas Lee) • schema learning from regulatory documents • logic programming for ontology induction

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