Matches in SemOpenAlex for { <https://semopenalex.org/work/W2883404190> ?p ?o ?g. }
- W2883404190 endingPage "579" @default.
- W2883404190 startingPage "568" @default.
- W2883404190 abstract "The demand to travel by rail is ever increasing because it benefits passengers. Also it is important for railway administrators to carry passengers safely to their destinations. One of the parameters that cause unsafety transportation is faults in railway transportation. Undergoing safety procedures and developing safety systems require awareness of what is causing unsafe conditions. This can be obtained by learning from the past. Data mining is a tool to extract information from historical data. One of the most common fields of transportation to apply data mining is fault analysis. In the present study the data set of 4-year record of tram faults from a railway transportation company in Turkey was obtained to carry out rule extraction from the occurrence of faults that cause delays in tram services. For this purpose, we used a rough set tool Rosetta as well as Weka for rule extraction. As a result, we obtained meaningful and useful rules, and these rules were interpreted." @default.
- W2883404190 created "2018-08-03" @default.
- W2883404190 creator A5000813223 @default.
- W2883404190 creator A5012439955 @default.
- W2883404190 date "2018-10-01" @default.
- W2883404190 modified "2023-10-03" @default.
- W2883404190 title "Rule extraction for tram faults via data mining for safe transportation" @default.
- W2883404190 cites W1964522863 @default.
- W2883404190 cites W1972024853 @default.
- W2883404190 cites W1977661708 @default.
- W2883404190 cites W1992068006 @default.
- W2883404190 cites W2006762481 @default.
- W2883404190 cites W2007562398 @default.
- W2883404190 cites W2027117239 @default.
- W2883404190 cites W2027876852 @default.
- W2883404190 cites W2037768235 @default.
- W2883404190 cites W2039645298 @default.
- W2883404190 cites W2044855549 @default.
- W2883404190 cites W2058810184 @default.
- W2883404190 cites W2070090737 @default.
- W2883404190 cites W2070560454 @default.
- W2883404190 cites W2077769170 @default.
- W2883404190 cites W2085988980 @default.
- W2883404190 cites W2093598546 @default.
- W2883404190 cites W2109574129 @default.
- W2883404190 cites W2114612288 @default.
- W2883404190 cites W2145634453 @default.
- W2883404190 cites W2261330476 @default.
- W2883404190 cites W2317333067 @default.
- W2883404190 cites W2467110436 @default.
- W2883404190 cites W2515091366 @default.
- W2883404190 cites W2561406409 @default.
- W2883404190 cites W2580352794 @default.
- W2883404190 cites W2586322860 @default.
- W2883404190 cites W2588454820 @default.
- W2883404190 cites W2591988257 @default.
- W2883404190 cites W2605200167 @default.
- W2883404190 cites W2618782758 @default.
- W2883404190 cites W2753195983 @default.
- W2883404190 cites W2782110801 @default.
- W2883404190 cites W2793297958 @default.
- W2883404190 cites W2793598509 @default.
- W2883404190 cites W2794204271 @default.
- W2883404190 cites W2804647087 @default.
- W2883404190 cites W2804672956 @default.
- W2883404190 doi "https://doi.org/10.1016/j.tra.2018.07.011" @default.
- W2883404190 hasPublicationYear "2018" @default.
- W2883404190 type Work @default.
- W2883404190 sameAs 2883404190 @default.
- W2883404190 citedByCount "6" @default.
- W2883404190 countsByYear W28834041902018 @default.
- W2883404190 countsByYear W28834041902019 @default.
- W2883404190 countsByYear W28834041902020 @default.
- W2883404190 countsByYear W28834041902022 @default.
- W2883404190 crossrefType "journal-article" @default.
- W2883404190 hasAuthorship W2883404190A5000813223 @default.
- W2883404190 hasAuthorship W2883404190A5012439955 @default.
- W2883404190 hasConcept C111012933 @default.
- W2883404190 hasConcept C124101348 @default.
- W2883404190 hasConcept C127313418 @default.
- W2883404190 hasConcept C127413603 @default.
- W2883404190 hasConcept C149271511 @default.
- W2883404190 hasConcept C154945302 @default.
- W2883404190 hasConcept C165205528 @default.
- W2883404190 hasConcept C166957645 @default.
- W2883404190 hasConcept C175551986 @default.
- W2883404190 hasConcept C177264268 @default.
- W2883404190 hasConcept C18918823 @default.
- W2883404190 hasConcept C199360897 @default.
- W2883404190 hasConcept C205649164 @default.
- W2883404190 hasConcept C22212356 @default.
- W2883404190 hasConcept C2776687071 @default.
- W2883404190 hasConcept C41008148 @default.
- W2883404190 hasConceptScore W2883404190C111012933 @default.
- W2883404190 hasConceptScore W2883404190C124101348 @default.
- W2883404190 hasConceptScore W2883404190C127313418 @default.
- W2883404190 hasConceptScore W2883404190C127413603 @default.
- W2883404190 hasConceptScore W2883404190C149271511 @default.
- W2883404190 hasConceptScore W2883404190C154945302 @default.
- W2883404190 hasConceptScore W2883404190C165205528 @default.
- W2883404190 hasConceptScore W2883404190C166957645 @default.
- W2883404190 hasConceptScore W2883404190C175551986 @default.
- W2883404190 hasConceptScore W2883404190C177264268 @default.
- W2883404190 hasConceptScore W2883404190C18918823 @default.
- W2883404190 hasConceptScore W2883404190C199360897 @default.
- W2883404190 hasConceptScore W2883404190C205649164 @default.
- W2883404190 hasConceptScore W2883404190C22212356 @default.
- W2883404190 hasConceptScore W2883404190C2776687071 @default.
- W2883404190 hasConceptScore W2883404190C41008148 @default.
- W2883404190 hasLocation W28834041901 @default.
- W2883404190 hasOpenAccess W2883404190 @default.
- W2883404190 hasPrimaryLocation W28834041901 @default.
- W2883404190 hasRelatedWork W2293662940 @default.
- W2883404190 hasRelatedWork W2347273365 @default.
- W2883404190 hasRelatedWork W2350598552 @default.
- W2883404190 hasRelatedWork W2351835038 @default.
- W2883404190 hasRelatedWork W2352946129 @default.
- W2883404190 hasRelatedWork W2353787483 @default.