Statistical Relational Learning - Canonical Tasks

Canonical Tasks

A number of canonical tasks are associated with statistical relational learning, the most common ones being

  • collective classification, i.e. the (simultaneous) prediction of the class of several objects given objects' attributes and their relations
  • link prediction, i.e. predicting whether or not two or more objects are related
  • link-based clustering, i.e. the grouping of similar objects, where similarity is determined according to the links of an object, and the related task of collaborative filtering, i.e. the filtering for information that is relevant to an entity (where a piece of information is considered relevant to an entity if it is known to be relevant to a similar entity).
  • social network modelling
  • object identification/entity resolution/record linkage, i.e. the identification of equivalent entries in two or more separate databases/datasets

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