Matches in SemOpenAlex for { <https://semopenalex.org/work/W2950874468> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2950874468 abstract "After data selection, pre-processing, transformation, and feature extraction, knowledge extraction is not the final step in a data mining process. It is then necessary to understand this knowledge in order to apply it efficiently and effectively. Up to now, there is a lack of appropriate techniques that support this significant step. This is partly due to the fact that the assessment of knowledge is often highly subjective, e.g., regarding aspects such as novelty or usefulness. These aspects depend on the specific knowledge and requirements of the data miner. There are, however, a number of aspects that are objective and for which it is possible to provide appropriate measures. In this article we focus on classification problems and use probabilistic generative classifiers based on mixture density models that are quite common in data mining applications. We define objective measures to assess the informativeness, uniqueness, importance, discrimination, representativity, uncertainty, and distinguishability of rules contained in these classifiers numerically. These measures not only support a data miner in evaluating results of a data mining process based on such classifiers. As we will see in illustrative case studies, they may also be used to improve the data mining process itself or to support the later application of the extracted knowledge." @default.
- W2950874468 created "2019-06-27" @default.
- W2950874468 creator A5016081896 @default.
- W2950874468 creator A5051405326 @default.
- W2950874468 creator A5061560679 @default.
- W2950874468 creator A5065340030 @default.
- W2950874468 creator A5086996124 @default.
- W2950874468 date "2016-05-20" @default.
- W2950874468 modified "2023-09-27" @default.
- W2950874468 title "Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers" @default.
- W2950874468 cites W1497400699 @default.
- W2950874468 cites W2117812871 @default.
- W2950874468 cites W2123098109 @default.
- W2950874468 cites W2125055259 @default.
- W2950874468 cites W2157792207 @default.
- W2950874468 hasPublicationYear "2016" @default.
- W2950874468 type Work @default.
- W2950874468 sameAs 2950874468 @default.
- W2950874468 citedByCount "0" @default.
- W2950874468 crossrefType "posted-content" @default.
- W2950874468 hasAuthorship W2950874468A5016081896 @default.
- W2950874468 hasAuthorship W2950874468A5051405326 @default.
- W2950874468 hasAuthorship W2950874468A5061560679 @default.
- W2950874468 hasAuthorship W2950874468A5065340030 @default.
- W2950874468 hasAuthorship W2950874468A5086996124 @default.
- W2950874468 hasConcept C111919701 @default.
- W2950874468 hasConcept C119857082 @default.
- W2950874468 hasConcept C120567893 @default.
- W2950874468 hasConcept C124101348 @default.
- W2950874468 hasConcept C138885662 @default.
- W2950874468 hasConcept C154945302 @default.
- W2950874468 hasConcept C167966045 @default.
- W2950874468 hasConcept C27206212 @default.
- W2950874468 hasConcept C2778738651 @default.
- W2950874468 hasConcept C2778924833 @default.
- W2950874468 hasConcept C39890363 @default.
- W2950874468 hasConcept C41008148 @default.
- W2950874468 hasConcept C49937458 @default.
- W2950874468 hasConcept C89198739 @default.
- W2950874468 hasConcept C98045186 @default.
- W2950874468 hasConceptScore W2950874468C111919701 @default.
- W2950874468 hasConceptScore W2950874468C119857082 @default.
- W2950874468 hasConceptScore W2950874468C120567893 @default.
- W2950874468 hasConceptScore W2950874468C124101348 @default.
- W2950874468 hasConceptScore W2950874468C138885662 @default.
- W2950874468 hasConceptScore W2950874468C154945302 @default.
- W2950874468 hasConceptScore W2950874468C167966045 @default.
- W2950874468 hasConceptScore W2950874468C27206212 @default.
- W2950874468 hasConceptScore W2950874468C2778738651 @default.
- W2950874468 hasConceptScore W2950874468C2778924833 @default.
- W2950874468 hasConceptScore W2950874468C39890363 @default.
- W2950874468 hasConceptScore W2950874468C41008148 @default.
- W2950874468 hasConceptScore W2950874468C49937458 @default.
- W2950874468 hasConceptScore W2950874468C89198739 @default.
- W2950874468 hasConceptScore W2950874468C98045186 @default.
- W2950874468 hasLocation W29508744681 @default.
- W2950874468 hasOpenAccess W2950874468 @default.
- W2950874468 hasPrimaryLocation W29508744681 @default.
- W2950874468 hasRelatedWork W1582252089 @default.
- W2950874468 hasRelatedWork W1982643701 @default.
- W2950874468 hasRelatedWork W2039604265 @default.
- W2950874468 hasRelatedWork W2070735943 @default.
- W2950874468 hasRelatedWork W2184506640 @default.
- W2950874468 hasRelatedWork W2188106958 @default.
- W2950874468 hasRelatedWork W2240456204 @default.
- W2950874468 hasRelatedWork W2252012216 @default.
- W2950874468 hasRelatedWork W2289246745 @default.
- W2950874468 hasRelatedWork W2356081245 @default.
- W2950874468 hasRelatedWork W2396455471 @default.
- W2950874468 hasRelatedWork W2499171197 @default.
- W2950874468 hasRelatedWork W2732567291 @default.
- W2950874468 hasRelatedWork W2773073874 @default.
- W2950874468 hasRelatedWork W2783201451 @default.
- W2950874468 hasRelatedWork W2947721353 @default.
- W2950874468 hasRelatedWork W2950912126 @default.
- W2950874468 hasRelatedWork W2965323200 @default.
- W2950874468 hasRelatedWork W827319959 @default.
- W2950874468 hasRelatedWork W2186776128 @default.
- W2950874468 isParatext "false" @default.
- W2950874468 isRetracted "false" @default.
- W2950874468 magId "2950874468" @default.
- W2950874468 workType "article" @default.