Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289776548> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W4289776548 abstract "This paper is based on a previous publication [29]. Our work extends exception mining and outlier detection to the case of object-relational data. Object-relational data represent a complex heterogeneous network [12], which comprises objects of different types, links among these objects, also of different types, and attributes of these links. This special structure prohibits a direct vectorial data representation. We follow the well-established Exceptional Model Mining framework, which leverages machine learning models for exception mining: A object is exceptional to the extent that a model learned for the object data differs from a model learned for the general population. Exceptional objects can be viewed as outliers. We apply state of-the-art probabilistic modelling techniques for object-relational data that construct a graphical model (Bayesian network), which compactly represents probabilistic associations in the data. A new metric, derived from the learned object-relational model, quantifies the extent to which the individual association pattern of a potential outlier deviates from that of the whole population. The metric is based on the likelihood ratio of two parameter vectors: One that represents the population associations, and another that represents the individual associations. Our method is validated on synthetic datasets and on real-world data sets about soccer matches and movies. Compared to baseline methods, our novel transformed likelihood ratio achieved the best detection accuracy on all datasets." @default.
- W4289776548 created "2022-08-04" @default.
- W4289776548 creator A5026297632 @default.
- W4289776548 creator A5052195170 @default.
- W4289776548 date "2018-07-01" @default.
- W4289776548 modified "2023-09-27" @default.
- W4289776548 title "Model-based Exception Mining for Object-Relational Data" @default.
- W4289776548 doi "https://doi.org/10.48550/arxiv.1807.00381" @default.
- W4289776548 hasPublicationYear "2018" @default.
- W4289776548 type Work @default.
- W4289776548 citedByCount "0" @default.
- W4289776548 crossrefType "posted-content" @default.
- W4289776548 hasAuthorship W4289776548A5026297632 @default.
- W4289776548 hasAuthorship W4289776548A5052195170 @default.
- W4289776548 hasBestOaLocation W42897765481 @default.
- W4289776548 hasConcept C124101348 @default.
- W4289776548 hasConcept C144024400 @default.
- W4289776548 hasConcept C149923435 @default.
- W4289776548 hasConcept C154945302 @default.
- W4289776548 hasConcept C155846161 @default.
- W4289776548 hasConcept C162324750 @default.
- W4289776548 hasConcept C176217482 @default.
- W4289776548 hasConcept C17744445 @default.
- W4289776548 hasConcept C177877439 @default.
- W4289776548 hasConcept C199539241 @default.
- W4289776548 hasConcept C20894473 @default.
- W4289776548 hasConcept C21547014 @default.
- W4289776548 hasConcept C2776359362 @default.
- W4289776548 hasConcept C2781238097 @default.
- W4289776548 hasConcept C2908647359 @default.
- W4289776548 hasConcept C33724603 @default.
- W4289776548 hasConcept C40207289 @default.
- W4289776548 hasConcept C41008148 @default.
- W4289776548 hasConcept C49937458 @default.
- W4289776548 hasConcept C5655090 @default.
- W4289776548 hasConcept C67186912 @default.
- W4289776548 hasConcept C739882 @default.
- W4289776548 hasConcept C77088390 @default.
- W4289776548 hasConcept C79337645 @default.
- W4289776548 hasConcept C94625758 @default.
- W4289776548 hasConceptScore W4289776548C124101348 @default.
- W4289776548 hasConceptScore W4289776548C144024400 @default.
- W4289776548 hasConceptScore W4289776548C149923435 @default.
- W4289776548 hasConceptScore W4289776548C154945302 @default.
- W4289776548 hasConceptScore W4289776548C155846161 @default.
- W4289776548 hasConceptScore W4289776548C162324750 @default.
- W4289776548 hasConceptScore W4289776548C176217482 @default.
- W4289776548 hasConceptScore W4289776548C17744445 @default.
- W4289776548 hasConceptScore W4289776548C177877439 @default.
- W4289776548 hasConceptScore W4289776548C199539241 @default.
- W4289776548 hasConceptScore W4289776548C20894473 @default.
- W4289776548 hasConceptScore W4289776548C21547014 @default.
- W4289776548 hasConceptScore W4289776548C2776359362 @default.
- W4289776548 hasConceptScore W4289776548C2781238097 @default.
- W4289776548 hasConceptScore W4289776548C2908647359 @default.
- W4289776548 hasConceptScore W4289776548C33724603 @default.
- W4289776548 hasConceptScore W4289776548C40207289 @default.
- W4289776548 hasConceptScore W4289776548C41008148 @default.
- W4289776548 hasConceptScore W4289776548C49937458 @default.
- W4289776548 hasConceptScore W4289776548C5655090 @default.
- W4289776548 hasConceptScore W4289776548C67186912 @default.
- W4289776548 hasConceptScore W4289776548C739882 @default.
- W4289776548 hasConceptScore W4289776548C77088390 @default.
- W4289776548 hasConceptScore W4289776548C79337645 @default.
- W4289776548 hasConceptScore W4289776548C94625758 @default.
- W4289776548 hasLocation W42897765481 @default.
- W4289776548 hasOpenAccess W4289776548 @default.
- W4289776548 hasPrimaryLocation W42897765481 @default.
- W4289776548 hasRelatedWork W1487588218 @default.
- W4289776548 hasRelatedWork W148995703 @default.
- W4289776548 hasRelatedWork W2116965211 @default.
- W4289776548 hasRelatedWork W2250162459 @default.
- W4289776548 hasRelatedWork W2385648475 @default.
- W4289776548 hasRelatedWork W2810490377 @default.
- W4289776548 hasRelatedWork W3037000835 @default.
- W4289776548 hasRelatedWork W3112180085 @default.
- W4289776548 hasRelatedWork W4285191285 @default.
- W4289776548 hasRelatedWork W4289776548 @default.
- W4289776548 isParatext "false" @default.
- W4289776548 isRetracted "false" @default.
- W4289776548 workType "article" @default.