Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313331823> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4313331823 endingPage "10" @default.
- W4313331823 startingPage "1" @default.
- W4313331823 abstract "Enterprise performance’s path choice is impacted by DT (digital transformation). However, from the standpoint of the digital economy, there is currently a dearth of research studying the effect of DT on company performance. The rise of big data technologies makes it feasible to collect comprehensive and objective information. In order to do this, we suggest a new forecasting technology that fully utilises DM (data mining) technology to implement the forecasting process, processes the enterprise’s quantitative financial index data, and creates a model. The enterprise performance is forecasted by the reliable Bayesian neural network model of the innovative project portfolio, and the logic of the model architecture is demonstrated. The findings demonstrate that as sample numbers rise, the average accuracy of training samples gradually drops while the average accuracy of test samples gradually rises. The average accuracy of training samples is 0.726, while the average accuracy of validation samples is 0.652 when there are 150 samples. The analysis of the results demonstrates that this study successfully integrates DM into the corporate performance prediction model." @default.
- W4313331823 created "2023-01-06" @default.
- W4313331823 creator A5075511718 @default.
- W4313331823 date "2022-12-29" @default.
- W4313331823 modified "2023-09-30" @default.
- W4313331823 title "Impact of Digital Transformation of Engineering Enterprises on Enterprise Performance Based on Data Mining and Credible Bayesian Neural Network Model" @default.
- W4313331823 cites W2083043137 @default.
- W4313331823 cites W2195853719 @default.
- W4313331823 cites W2791598376 @default.
- W4313331823 cites W2896963427 @default.
- W4313331823 cites W2901358924 @default.
- W4313331823 cites W2910081275 @default.
- W4313331823 cites W2977675694 @default.
- W4313331823 cites W3014375002 @default.
- W4313331823 cites W3042965483 @default.
- W4313331823 cites W3081659341 @default.
- W4313331823 cites W3090262972 @default.
- W4313331823 cites W3090927350 @default.
- W4313331823 cites W3155910169 @default.
- W4313331823 cites W3163991964 @default.
- W4313331823 cites W3200080224 @default.
- W4313331823 cites W4226371350 @default.
- W4313331823 cites W4229780841 @default.
- W4313331823 cites W4234689515 @default.
- W4313331823 doi "https://doi.org/10.1155/2022/9403986" @default.
- W4313331823 hasPublicationYear "2022" @default.
- W4313331823 type Work @default.
- W4313331823 citedByCount "4" @default.
- W4313331823 countsByYear W43133318232023 @default.
- W4313331823 crossrefType "journal-article" @default.
- W4313331823 hasAuthorship W4313331823A5075511718 @default.
- W4313331823 hasBestOaLocation W43133318231 @default.
- W4313331823 hasConcept C10138342 @default.
- W4313331823 hasConcept C104317684 @default.
- W4313331823 hasConcept C107673813 @default.
- W4313331823 hasConcept C111919701 @default.
- W4313331823 hasConcept C119857082 @default.
- W4313331823 hasConcept C124101348 @default.
- W4313331823 hasConcept C126082660 @default.
- W4313331823 hasConcept C136764020 @default.
- W4313331823 hasConcept C154945302 @default.
- W4313331823 hasConcept C162324750 @default.
- W4313331823 hasConcept C185592680 @default.
- W4313331823 hasConcept C198531522 @default.
- W4313331823 hasConcept C204241405 @default.
- W4313331823 hasConcept C2522767166 @default.
- W4313331823 hasConcept C2780821815 @default.
- W4313331823 hasConcept C41008148 @default.
- W4313331823 hasConcept C43617362 @default.
- W4313331823 hasConcept C50644808 @default.
- W4313331823 hasConcept C55493867 @default.
- W4313331823 hasConcept C75684735 @default.
- W4313331823 hasConcept C98045186 @default.
- W4313331823 hasConceptScore W4313331823C10138342 @default.
- W4313331823 hasConceptScore W4313331823C104317684 @default.
- W4313331823 hasConceptScore W4313331823C107673813 @default.
- W4313331823 hasConceptScore W4313331823C111919701 @default.
- W4313331823 hasConceptScore W4313331823C119857082 @default.
- W4313331823 hasConceptScore W4313331823C124101348 @default.
- W4313331823 hasConceptScore W4313331823C126082660 @default.
- W4313331823 hasConceptScore W4313331823C136764020 @default.
- W4313331823 hasConceptScore W4313331823C154945302 @default.
- W4313331823 hasConceptScore W4313331823C162324750 @default.
- W4313331823 hasConceptScore W4313331823C185592680 @default.
- W4313331823 hasConceptScore W4313331823C198531522 @default.
- W4313331823 hasConceptScore W4313331823C204241405 @default.
- W4313331823 hasConceptScore W4313331823C2522767166 @default.
- W4313331823 hasConceptScore W4313331823C2780821815 @default.
- W4313331823 hasConceptScore W4313331823C41008148 @default.
- W4313331823 hasConceptScore W4313331823C43617362 @default.
- W4313331823 hasConceptScore W4313331823C50644808 @default.
- W4313331823 hasConceptScore W4313331823C55493867 @default.
- W4313331823 hasConceptScore W4313331823C75684735 @default.
- W4313331823 hasConceptScore W4313331823C98045186 @default.
- W4313331823 hasLocation W43133318231 @default.
- W4313331823 hasOpenAccess W4313331823 @default.
- W4313331823 hasPrimaryLocation W43133318231 @default.
- W4313331823 hasRelatedWork W2608950002 @default.
- W4313331823 hasRelatedWork W2885626903 @default.
- W4313331823 hasRelatedWork W2905840432 @default.
- W4313331823 hasRelatedWork W3014300295 @default.
- W4313331823 hasRelatedWork W3046436342 @default.
- W4313331823 hasRelatedWork W3093995929 @default.
- W4313331823 hasRelatedWork W3095469298 @default.
- W4313331823 hasRelatedWork W3194179951 @default.
- W4313331823 hasRelatedWork W4205745956 @default.
- W4313331823 hasRelatedWork W4360867056 @default.
- W4313331823 hasVolume "2022" @default.
- W4313331823 isParatext "false" @default.
- W4313331823 isRetracted "false" @default.
- W4313331823 workType "article" @default.