Matches in SemOpenAlex for { <https://semopenalex.org/work/W2675955852> ?p ?o ?g. }
Showing items 1 to 48 of
48
with 100 items per page.
- W2675955852 abstract "In the context of multivariate information such as parking lots, individuals and commerce, we use K2 algorithm to do structure learning of Bayesian network and use maximum likelihood estimate algorithm to do parameter learning of Bayesian network. Bayesian network is established to study parking behavior under the influence of multi-information. This paper analyses the preferences of vehicle owners in choosing the parking lot on the impact of parking fee discount. According to the analysis results, we provide suggestions for businesses to formulate preferential parking rules. The clique tree propagation algorithm is utilized to predict the parking fee. Prediction result is provided to vehicle owners as a basis for travel." @default.
- W2675955852 created "2017-06-30" @default.
- W2675955852 creator A5016622484 @default.
- W2675955852 creator A5082763858 @default.
- W2675955852 creator A5088814915 @default.
- W2675955852 date "2016-12-01" @default.
- W2675955852 modified "2023-10-04" @default.
- W2675955852 title "Parking behavior analysis in multi-information environment" @default.
- W2675955852 cites W1847276264 @default.
- W2675955852 cites W1999971353 @default.
- W2675955852 cites W2037289203 @default.
- W2675955852 cites W2069611399 @default.
- W2675955852 cites W2167178068 @default.
- W2675955852 cites W2274506476 @default.
- W2675955852 cites W2516338064 @default.
- W2675955852 doi "https://doi.org/10.1109/pic.2016.7949554" @default.
- W2675955852 hasPublicationYear "2016" @default.
- W2675955852 type Work @default.
- W2675955852 sameAs 2675955852 @default.
- W2675955852 citedByCount "2" @default.
- W2675955852 countsByYear W26759558522022 @default.
- W2675955852 crossrefType "proceedings-article" @default.
- W2675955852 hasAuthorship W2675955852A5016622484 @default.
- W2675955852 hasAuthorship W2675955852A5082763858 @default.
- W2675955852 hasAuthorship W2675955852A5088814915 @default.
- W2675955852 hasConcept C107457646 @default.
- W2675955852 hasConcept C2776933542 @default.
- W2675955852 hasConcept C41008148 @default.
- W2675955852 hasConceptScore W2675955852C107457646 @default.
- W2675955852 hasConceptScore W2675955852C2776933542 @default.
- W2675955852 hasConceptScore W2675955852C41008148 @default.
- W2675955852 hasLocation W26759558521 @default.
- W2675955852 hasOpenAccess W2675955852 @default.
- W2675955852 hasPrimaryLocation W26759558521 @default.
- W2675955852 hasRelatedWork W2350741829 @default.
- W2675955852 hasRelatedWork W2358668433 @default.
- W2675955852 hasRelatedWork W2361926116 @default.
- W2675955852 hasRelatedWork W2376932109 @default.
- W2675955852 hasRelatedWork W2382290278 @default.
- W2675955852 hasRelatedWork W2390279801 @default.
- W2675955852 hasRelatedWork W2748952813 @default.
- W2675955852 hasRelatedWork W2899084033 @default.
- W2675955852 hasRelatedWork W4246426965 @default.
- W2675955852 hasRelatedWork W3106945349 @default.
- W2675955852 isParatext "false" @default.
- W2675955852 isRetracted "false" @default.
- W2675955852 magId "2675955852" @default.
- W2675955852 workType "article" @default.