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Propositionalization Approaches to Relational Data Mining

  • Kramer S
  • Lavrač N
  • Flach P
Springer Berlin Heidelberg, (2001), 262-291
DOI: 10.1007/978-3-662-04599-2_11
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Abstract

This chapter surveys methods that transform a relational representation of a learning problem into a propositional (feature-based, attribute-value) representation. This kind of representation change is known as propositionalization. Taking such an approach, feature...

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Kramer, S., Lavrač, N., & Flach, P. (2001). Propositionalization Approaches to Relational Data Mining. In Relational Data Mining (pp. 262–291). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-04599-2_11

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