Inferring definition

Inferring. Gather information from statistical or data mining methods. For example, a cable TV company identify who is the person watching TV (husband, wife, son, daughter, etc.) based on the TV programs watched the channels visited or identifying the sentiment (opinion) of the user about the topic through Natural Language Processing. Following, Section 3.1.2 contains a description of how contextual attributes are chosen, referencing state-of-the-art methods for finding the contextual attributes of a subject. In the same section we also adapt the context definition and investigate approaches around the distinctive needs of recommender systems. Definition and more details regarding the Recommendation systems can be found in Section 3.3.
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Inferring means to use backward chaining. Given that source and subsumption relations have already been considered at this point, only definitional rules remain to be considered. That a finding should not be asked is determined by the “don’t ask when” relation, requiring the task APPLYRULES to be invoked in the premise of this metarule.
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Examples of Inferring in a sentence

  • Inferring from huge data sets should not take up to much time (efficiency issue).

  • Inferring Intent: Even if an individual denies intent/wish to die, it may be inferred clinically from the behavior or circumstances.

  • Inferring the mass composition from these measurements is subject to some level of uncertainty.

  • Inferring a level-1 phylogenetic network from a dense set of rooted triplets.

  • Inferring Population Structure and Admixture Proportions in Low- Depth NGS Data.

  • Inferring rates of change in flower symmetry in Asterid angiosperms.

  • Inferring that the dog is anything other then a Brienwood bred dog is a breach of contract.

  • Inferring Attributes of the Potential Population The SDAC extracts are produced, disaggregated by ten year age groups and by sex, at the national level.

  • Inferring universals from gram- matical variation: Multidimensional scaling for typological analysis.

  • Inferring microbial interactions from metagenomic time- series using prior biological knowledge.