{"id":"https://openalex.org/W3109641812","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263649","title":"Application of FP_Growth Algorithm of Sequential Pattern Mining on Container Maintenance Components Association","display_name":"Application of FP_Growth Algorithm of Sequential Pattern Mining on Container Maintenance Components Association","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3109641812","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263649","mag":"3109641812"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5097736129","display_name":"Lingxizhu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingxizhu","raw_affiliation_strings":["School of Traffic and Tansportation of Beijing Jiaotong University,Beijing,China","School of Traffic and Tansportation of Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Tansportation of Beijing Jiaotong University,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Traffic and Tansportation of Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097897520","display_name":"Yufeiguo","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeiguo","raw_affiliation_strings":["School of Graduate of Beijing Jiaotong University,Beijing,China","School of Graduate of Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Graduate of Beijing Jiaotong University,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Graduate of Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097709047","display_name":"Jingyiwang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyiwang","raw_affiliation_strings":["School of Graduate of Beijing Jiaotong University,Beijing,China","School of Graduate of Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Graduate of Beijing Jiaotong University,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Graduate of Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5097736129"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23886584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1026","last_page":"1031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/container","display_name":"Container (type theory)","score":0.8479132652282715},{"id":"https://openalex.org/keywords/doors","display_name":"Doors","score":0.7777963876724243},{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.6590036153793335},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6131094098091125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5885122418403625},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5515362024307251},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5359659194946289},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.525901734828949},{"id":"https://openalex.org/keywords/maintenance-engineering","display_name":"Maintenance engineering","score":0.5064231157302856},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.499950647354126},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.34911373257637024},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.33692502975463867},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.32261037826538086},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26276886463165283}],"concepts":[{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.8479132652282715},{"id":"https://openalex.org/C125209513","wikidata":"https://www.wikidata.org/wiki/Q4037520","display_name":"Doors","level":2,"score":0.7777963876724243},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.6590036153793335},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6131094098091125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5885122418403625},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5515362024307251},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5359659194946289},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.525901734828949},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.5064231157302856},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.499950647354126},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.34911373257637024},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.33692502975463867},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32261037826538086},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26276886463165283},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2168196587","https://openalex.org/W2385795037"],"related_works":["https://openalex.org/W3016239942","https://openalex.org/W2486091485","https://openalex.org/W4293365988","https://openalex.org/W2374188760","https://openalex.org/W2997934945","https://openalex.org/W2468876127","https://openalex.org/W4205206412","https://openalex.org/W2885750329","https://openalex.org/W2487340859","https://openalex.org/W2797842516"],"abstract_inverted_index":{"Using":[0],"the":[1,8,13,22,52,56,71,82,87,90,93,101,112,115,128],"available":[2],"historical":[3],"maintenance":[4,23,48,53,57],"data":[5,33,67,83],"to":[6,21,70,80,86],"reveal":[7],"patterns":[9],"and":[10,59,95,100,122,135],"laws":[11],"behind":[12],"frequent":[14],"damages":[15,129],"would":[16],"provide":[17],"a":[18,47,63],"possible":[19],"solution":[20],"issues.":[24],"This":[25],"study":[26],"collected":[27],"9":[28],"years":[29],"container":[30],"maintenances":[31],"record":[32],"from":[34],"China":[35],"Railway":[36],"Container":[37],"Transport":[38],"Corp,":[39],"Ltd":[40],"(CRCT).":[41],"Based":[42],"on":[43],"those":[44],"data,":[45],"establishes":[46],"component":[49],"chain":[50],"for":[51],"parts":[54,121],"of":[55,92,114,130,132],"operation,":[58],"converts":[60],"it":[61],"into":[62],"sparse":[64],"matrix":[65],"format":[66],"set":[68],"according":[69],"algorithm":[72,77],"requirements.":[73],"FP_growth":[74],"(Frequent":[75],"Pattern)":[76],"is":[78],"used":[79],"analyze":[81],"set.":[84],"According":[85],"actual":[88],"situation,":[89],"value":[91],"confidence":[94],"lifting":[96],"degree":[97],"are":[98,106,117,124],"set,":[99],"178":[102],"strong":[103,125],"association":[104],"rules":[105],"obtained.":[107],"The":[108],"results":[109],"indicate":[110],"that":[111],"components":[113,131],"doors":[116],"most":[118],"frequently":[119],"damaged":[120],"there":[123],"relationships":[126],"among":[127],"rear":[133],"end":[134],"doors.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}