{"id":"https://openalex.org/W4308217575","doi":"https://doi.org/10.1109/iciscae55891.2022.9927561","title":"Research on D&A System Based on K-means++ Clustering and Machine Learning","display_name":"Research on D&A System Based on K-means++ Clustering and Machine Learning","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4308217575","doi":"https://doi.org/10.1109/iciscae55891.2022.9927561"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae55891.2022.9927561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927561","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5101055545","display_name":"Haonan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Han","raw_affiliation_strings":["Xidian University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066807005","display_name":"Shiwen Zhang","orcid":"https://orcid.org/0009-0004-0378-2172"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwen Zhang","raw_affiliation_strings":["Xidian University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058140559","display_name":"Bangxiang Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangxiang Lan","raw_affiliation_strings":["Xidian University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13333333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"952","last_page":"957"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11912","display_name":"Outsourcing and Supply Chain Management","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/capability-maturity-model","display_name":"Capability Maturity Model","score":0.7738261222839355},{"id":"https://openalex.org/keywords/port","display_name":"Port (circuit theory)","score":0.7686243057250977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7027093768119812},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6411963701248169},{"id":"https://openalex.org/keywords/maturity","display_name":"Maturity (psychological)","score":0.6240626573562622},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5884734392166138},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4906662702560425},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47831204533576965},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47745612263679504},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4225732982158661},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.41687917709350586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2820870578289032},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1722835898399353},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11833640933036804}],"concepts":[{"id":"https://openalex.org/C85890633","wikidata":"https://www.wikidata.org/wiki/Q929673","display_name":"Capability Maturity Model","level":3,"score":0.7738261222839355},{"id":"https://openalex.org/C32802771","wikidata":"https://www.wikidata.org/wiki/Q2443617","display_name":"Port (circuit theory)","level":2,"score":0.7686243057250977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7027093768119812},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6411963701248169},{"id":"https://openalex.org/C101433766","wikidata":"https://www.wikidata.org/wiki/Q3543263","display_name":"Maturity (psychological)","level":2,"score":0.6240626573562622},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5884734392166138},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4906662702560425},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47831204533576965},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47745612263679504},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4225732982158661},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.41687917709350586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2820870578289032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1722835898399353},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11833640933036804},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae55891.2022.9927561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927561","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1560851690","https://openalex.org/W2094071356","https://openalex.org/W2202042777","https://openalex.org/W3173480231","https://openalex.org/W6633693232"],"related_works":["https://openalex.org/W2563825355","https://openalex.org/W4283172224","https://openalex.org/W2992877076","https://openalex.org/W4382725623","https://openalex.org/W2888066950","https://openalex.org/W2889844859","https://openalex.org/W3217511980","https://openalex.org/W2806063704","https://openalex.org/W4384822944","https://openalex.org/W2912268755"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,28,44,68,70,81,133,154,174,182,188],"this":[3],"paper":[4],"is":[5],"to":[6,12,24,58,112,136,162],"create":[7,33],"a":[8,34,53,87],"multidimensional":[9],"evaluation":[10,75],"model":[11,39,91,161],"identify":[13],"performance":[14],"indicators":[15,140],"for":[16,40,123],"evaluating":[17,41],"data":[18,51,100,176],"analytics":[19,177],"systems":[20,178],"in":[21],"ports":[22,164],"and":[23,37,76,107,125,145,165,170,185,193],"transfer":[25],"the":[26,29,42,45,50,66,74,98,103,114,118,127,131,151,155,160,172,175,180,186],"application":[27],"model.":[30],"Firstly,":[31],"we":[32,85,148,158],"talent,":[35],"technology,":[36],"process-based":[38],"maturity":[43,62,173,191],"D&A":[46],"system.":[47],"We":[48,64,96,168],"classify":[49],"using":[52,190],"World2Vec-based":[54],"K-means++":[55],"clustering":[56],"algorithm":[57],"obtain":[59,138],"five":[60],"talent":[61],"indicators.":[63,83],"incorporate":[65],"degree":[67],"association":[69],"different":[71,163,166],"technologies":[72],"into":[73,120],"establish":[77],"an":[78],"integrated":[79],"network":[80],"technical":[82],"Then,":[84],"build":[86],"port":[88],"time":[89,132,152],"efficiency":[90,153],"based":[92],"on":[93],"AIS":[94,99],"data.":[95],"collect":[97],"found":[101],"from":[102],"U.S.":[104],"Maritime":[105],"Administration":[106],"use":[108],"machine":[109],"learning":[110],"algorithms":[111],"process":[113],"geographic":[115],"data,":[116],"divide":[117],"ships":[119],"three":[121],"states":[122],"entering":[124],"leaving":[126],"port.":[128,156],"By":[129],"calculating":[130],"each":[134],"state":[135],"finally":[137],"four":[139],"such":[141],"as":[142],"daily":[143],"throughput":[144],"turnaround":[146],"time,":[147],"can":[149],"measure":[150],"Finally,":[157],"apply":[159],"industries.":[167],"evaluate":[169],"compare":[171],"at":[179],"Port":[181,187],"Los":[183],"Angeles":[184],"Shanghai":[189],"metrics":[192],"make":[194],"some":[195],"targeted":[196],"recommendations.":[197]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}