Matches in SemOpenAlex for { <https://semopenalex.org/work/W2506432879> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2506432879 endingPage "32" @default.
- W2506432879 startingPage "19" @default.
- W2506432879 abstract "The infrastructure and tools necessary for large-scale data analytics, formerly the exclusive purview of experts, are increasingly available. Whereas a knowledgeable data-miner or domain expert can rightly be expected to exercise caution when required (for example, around fallacious conclusions supposedly supported by the data), the nonexpert may benefit from some judicious assistance. This article describes an end-to-end learning framework that allows a novice to create models from data easily by helping structure the model building process and capturing extended aspects of domain knowledge. By treating the whole modeling process interactively and exploiting high-level knowledge in the form of an ontology, the framework is able to aid the user in a number of ways, including in helping to avoid pitfalls such as data dredging. Prudence must be exercised to avoid these hazards as certain conclusions may only be supported if, for example, there is extra knowledge which gives reason to trust a narrower set of hypotheses. This article adopts the solution of using higher-level knowledge to allow this sort of domain knowledge to be used automatically, selecting relevant input attributes, and thence constraining the hypothesis space. We describe how the framework automatically exploits structured knowledge in an ontology to identify relevant concepts, and how a data extraction component can make use of online data sources to find measurements of those concepts so that their relevance can be evaluated. To validate our approach, models of four different problem domains were built using our implementation of the framework. Prediction error on unseen examples of these models show that our framework, making use of the ontology, helps to improve model generalization." @default.
- W2506432879 created "2016-08-23" @default.
- W2506432879 creator A5035574727 @default.
- W2506432879 creator A5056248407 @default.
- W2506432879 date "2016-06-01" @default.
- W2506432879 modified "2023-09-23" @default.
- W2506432879 title "Helping Novices Avoid the Hazards of Data: Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources" @default.
- W2506432879 cites W1970906492 @default.
- W2506432879 cites W2099817335 @default.
- W2506432879 cites W2127978399 @default.
- W2506432879 cites W2138621811 @default.
- W2506432879 cites W2143259757 @default.
- W2506432879 cites W2153225416 @default.
- W2506432879 cites W2162020046 @default.
- W2506432879 doi "https://doi.org/10.1609/aimag.v37i2.2626" @default.
- W2506432879 hasPublicationYear "2016" @default.
- W2506432879 type Work @default.
- W2506432879 sameAs 2506432879 @default.
- W2506432879 citedByCount "1" @default.
- W2506432879 countsByYear W25064328792016 @default.
- W2506432879 crossrefType "journal-article" @default.
- W2506432879 hasAuthorship W2506432879A5035574727 @default.
- W2506432879 hasAuthorship W2506432879A5056248407 @default.
- W2506432879 hasBestOaLocation W25064328791 @default.
- W2506432879 hasConcept C111472728 @default.
- W2506432879 hasConcept C111919701 @default.
- W2506432879 hasConcept C120567893 @default.
- W2506432879 hasConcept C124101348 @default.
- W2506432879 hasConcept C134306372 @default.
- W2506432879 hasConcept C138885662 @default.
- W2506432879 hasConcept C154945302 @default.
- W2506432879 hasConcept C158154518 @default.
- W2506432879 hasConcept C165696696 @default.
- W2506432879 hasConcept C177264268 @default.
- W2506432879 hasConcept C17744445 @default.
- W2506432879 hasConcept C199360897 @default.
- W2506432879 hasConcept C199539241 @default.
- W2506432879 hasConcept C207685749 @default.
- W2506432879 hasConcept C23123220 @default.
- W2506432879 hasConcept C2522767166 @default.
- W2506432879 hasConcept C25810664 @default.
- W2506432879 hasConcept C33923547 @default.
- W2506432879 hasConcept C36503486 @default.
- W2506432879 hasConcept C38652104 @default.
- W2506432879 hasConcept C41008148 @default.
- W2506432879 hasConcept C88548561 @default.
- W2506432879 hasConcept C98045186 @default.
- W2506432879 hasConceptScore W2506432879C111472728 @default.
- W2506432879 hasConceptScore W2506432879C111919701 @default.
- W2506432879 hasConceptScore W2506432879C120567893 @default.
- W2506432879 hasConceptScore W2506432879C124101348 @default.
- W2506432879 hasConceptScore W2506432879C134306372 @default.
- W2506432879 hasConceptScore W2506432879C138885662 @default.
- W2506432879 hasConceptScore W2506432879C154945302 @default.
- W2506432879 hasConceptScore W2506432879C158154518 @default.
- W2506432879 hasConceptScore W2506432879C165696696 @default.
- W2506432879 hasConceptScore W2506432879C177264268 @default.
- W2506432879 hasConceptScore W2506432879C17744445 @default.
- W2506432879 hasConceptScore W2506432879C199360897 @default.
- W2506432879 hasConceptScore W2506432879C199539241 @default.
- W2506432879 hasConceptScore W2506432879C207685749 @default.
- W2506432879 hasConceptScore W2506432879C23123220 @default.
- W2506432879 hasConceptScore W2506432879C2522767166 @default.
- W2506432879 hasConceptScore W2506432879C25810664 @default.
- W2506432879 hasConceptScore W2506432879C33923547 @default.
- W2506432879 hasConceptScore W2506432879C36503486 @default.
- W2506432879 hasConceptScore W2506432879C38652104 @default.
- W2506432879 hasConceptScore W2506432879C41008148 @default.
- W2506432879 hasConceptScore W2506432879C88548561 @default.
- W2506432879 hasConceptScore W2506432879C98045186 @default.
- W2506432879 hasIssue "2" @default.
- W2506432879 hasLocation W25064328791 @default.
- W2506432879 hasOpenAccess W2506432879 @default.
- W2506432879 hasPrimaryLocation W25064328791 @default.
- W2506432879 hasRelatedWork W2157792067 @default.
- W2506432879 hasRelatedWork W2358761204 @default.
- W2506432879 hasRelatedWork W2419185176 @default.
- W2506432879 hasRelatedWork W2481760429 @default.
- W2506432879 hasRelatedWork W4248184700 @default.
- W2506432879 hasRelatedWork W4255784183 @default.
- W2506432879 hasRelatedWork W4256075467 @default.
- W2506432879 hasRelatedWork W4285814174 @default.
- W2506432879 hasRelatedWork W4289743529 @default.
- W2506432879 hasRelatedWork W57791144 @default.
- W2506432879 hasVolume "37" @default.
- W2506432879 isParatext "false" @default.
- W2506432879 isRetracted "false" @default.
- W2506432879 magId "2506432879" @default.
- W2506432879 workType "article" @default.