Learning Statistical Models from Relational Data

Contents

• Learning Mappings between Data Schemas

  AnHai Doan, Pedro Domingos, and Alon Y. Levy

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• Rule Induction from Noisy Examples

  Laura Firoiu

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• Learning Probabilistic Relational Models with Structural Uncertainty

  Lise Getoor, Daphne Koller, Benjamin Taskar, and Nir Friedman

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• Efficient Mining of Graph-Based Data

  Jesus Gonzalez, Istvan Jonyer, Lawrence B. Holder, and Diane J. Cook

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• Interpreting Bayesian Logic Programs

  Kristian Kersting, Luc De Raedt, and Stefan Kramer

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• Learning Stochastic Logic Programs

  Stephen Muggleton

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• Iterative Classification in Relational Data

  Jennifer Neville, David Jensen

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• Using Hierarchies, Aggregates and Statistical Models to Discover Knowledge from Distributed Databases

  Rónán Páircéir, Sally McClean, Bryan Scotney

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• A Bayesian Language for Cumulative Learning

  Avi Pfeffer

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