{"id":"https://openalex.org/W3010298331","doi":"https://doi.org/10.1109/icsai48974.2019.9010403","title":"An Automatic Data Cleaning Method for GPS Trajectory Data on Didi Chuxing GAIA Open Dataset Using Machine Learning Algorithms","display_name":"An Automatic Data Cleaning Method for GPS Trajectory Data on Didi Chuxing GAIA Open Dataset Using Machine Learning Algorithms","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010298331","doi":"https://doi.org/10.1109/icsai48974.2019.9010403","mag":"3010298331"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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/A5103159779","display_name":"Jiashun Zhang","orcid":"https://orcid.org/0009-0002-4501-5604"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiashun Zhang","raw_affiliation_strings":["Department of Transportation, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Department of Transportation, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321734","display_name":"Yingyun Sun","orcid":"https://orcid.org/0000-0002-7516-753X"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Sun","raw_affiliation_strings":["Department of Accounting, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Department of Accounting, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103159779"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":0.1981,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62126054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1522","last_page":"1526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T14280","display_name":"Big Data Technologies and Applications","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.8524677157402039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486275434494019},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6260339617729187},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5857161283493042},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5071191787719727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49631863832473755},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.48360171914100647},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4394952654838562},{"id":"https://openalex.org/keywords/open-data","display_name":"Open data","score":0.4276992082595825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41809237003326416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40393924713134766},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08023926615715027},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07258662581443787},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.059360116720199585}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8524677157402039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486275434494019},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6260339617729187},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5857161283493042},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5071191787719727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49631863832473755},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.48360171914100647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4394952654838562},{"id":"https://openalex.org/C2780535194","wikidata":"https://www.wikidata.org/wiki/Q309901","display_name":"Open data","level":2,"score":0.4276992082595825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41809237003326416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40393924713134766},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08023926615715027},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07258662581443787},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.059360116720199585},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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":17,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W348643865","https://openalex.org/W564708358","https://openalex.org/W2004891103","https://openalex.org/W2080135332","https://openalex.org/W2090091537","https://openalex.org/W2127529517","https://openalex.org/W2134837462","https://openalex.org/W2292548112","https://openalex.org/W2413401323","https://openalex.org/W2579230126","https://openalex.org/W2605122768","https://openalex.org/W2756368700","https://openalex.org/W2803414592","https://openalex.org/W2909843322","https://openalex.org/W2963108291","https://openalex.org/W3104956875"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W4287027380","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W3193760048","https://openalex.org/W4285822516","https://openalex.org/W2505261959"],"abstract_inverted_index":{"In":[0],"this":[1,80],"paper,":[2],"a":[3],"new":[4],"auto":[5,70],"cleaning":[6,71],"method":[7],"for":[8],"the":[9,39,49,52,66,77],"GPS":[10],"trajectory":[11],"data":[12,37],"on":[13],"Didi":[14,40],"Chuxing":[15,41],"GAIA":[16,42],"Open":[17,43],"Dataset":[18,44],"is":[19,73],"developed.":[20],"The":[21],"support":[22],"vector":[23],"machine":[24],"(SVM)":[25],"and":[26,35,56,64],"Decision":[27],"Trees":[28],"are":[29,60],"employed":[30],"to":[31,62,75],"identify":[32],"invalid,":[33],"weak,":[34],"normal":[36],"of":[38,79],"raw":[45],"data.":[46,67],"To":[47],"implement":[48],"proposed":[50],"method,":[51],"Pandas":[53],"Python":[54,58],"library":[55,59],"scikit-learn":[57],"used":[61],"read":[63],"process":[65],"Finally,":[68],"an":[69],"example":[72],"presented":[74],"illustrate":[76],"effectiveness":[78],"method.":[81]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
