{"id":"https://openalex.org/W3000982708","doi":"https://doi.org/10.1145/3372454.3372465","title":"Extracting 4-Attributes Vessel Courses from AIS Data with PQK-Means and Topic Model","display_name":"Extracting 4-Attributes Vessel Courses from AIS Data with PQK-Means and Topic Model","publication_year":2019,"publication_date":"2019-11-20","ids":{"openalex":"https://openalex.org/W3000982708","doi":"https://doi.org/10.1145/3372454.3372465","mag":"3000982708"},"language":"en","primary_location":{"id":"doi:10.1145/3372454.3372465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372454.3372465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Big Data Research","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/A5060627916","display_name":"Iwao Fujino","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Iwao Fujino","raw_affiliation_strings":["Tokai University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokai University, Tokyo, Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027849780","display_name":"Christophe Claramunt","orcid":"https://orcid.org/0000-0002-5586-1997"},"institutions":[{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Claramunt","raw_affiliation_strings":["Shanghai Maritime University & Naval Academy Research Institute, Lanv\u00e9oc-Poulmic, France"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University & Naval Academy Research Institute, Lanv\u00e9oc-Poulmic, France","institution_ids":["https://openalex.org/I2801296886"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004893718","display_name":"Abdel\u2010Ouahab Boudraa","orcid":"https://orcid.org/0000-0002-1864-2859"},"institutions":[{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdel-Ouahab Boudraa","raw_affiliation_strings":["Naval Academy Research Institute, Lanv\u00e9oc-Poulmic, France"],"affiliations":[{"raw_affiliation_string":"Naval Academy Research Institute, Lanv\u00e9oc-Poulmic, France","institution_ids":["https://openalex.org/I2801296886"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060627916"],"corresponding_institution_ids":["https://openalex.org/I1314466530"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23610942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.913100004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.789242148399353},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5984320640563965},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5324946641921997},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4789220094680786},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4764419198036194},{"id":"https://openalex.org/keywords/automatic-identification-system","display_name":"Automatic Identification System","score":0.4677109122276306},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4631826877593994},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4440561830997467},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.42198094725608826},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41295135021209717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38683244585990906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789242148399353},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5984320640563965},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5324946641921997},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4789220094680786},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4764419198036194},{"id":"https://openalex.org/C146997752","wikidata":"https://www.wikidata.org/wiki/Q787197","display_name":"Automatic Identification System","level":2,"score":0.4677109122276306},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4631826877593994},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4440561830997467},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.42198094725608826},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41295135021209717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38683244585990906},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372454.3372465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372454.3372465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Big Data Research","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1836180297","https://openalex.org/W1880262756","https://openalex.org/W1907458443","https://openalex.org/W2063666345","https://openalex.org/W2083442964","https://openalex.org/W2110934250","https://openalex.org/W2124509324","https://openalex.org/W2134383396","https://openalex.org/W2180402105","https://openalex.org/W2211964529","https://openalex.org/W2605122712","https://openalex.org/W2910507967","https://openalex.org/W2913399920","https://openalex.org/W2962957673","https://openalex.org/W4244017338"],"related_works":["https://openalex.org/W2788604587","https://openalex.org/W4321456424","https://openalex.org/W4205214170","https://openalex.org/W1825213478","https://openalex.org/W4381804811","https://openalex.org/W4296295802","https://openalex.org/W3204226455","https://openalex.org/W4390722570","https://openalex.org/W4312902336","https://openalex.org/W4285102027"],"abstract_inverted_index":{"AIS":[0,36,73,80,99,152],"(Automatic":[1],"Identification":[2],"System)":[3],"data":[4,37,81,153],"received":[5],"from":[6,35,98,150],"moving":[7],"vessels":[8,39],"over":[9],"an":[10],"area":[11],"of":[12,16,38,65,122,138,146,158],"interest":[13,19],"can":[14],"be":[15,54],"very":[17],"much":[18],"for":[20,56],"deriving":[21],"maritime":[22],"trajectory":[23,107],"patterns.":[24],"In":[25,101],"this":[26],"paper,":[27],"a":[28,50,89,144,156],"novel":[29],"approach":[30,140],"to":[31,72,78,83,94],"extract":[32,95],"course":[33,96],"patterns":[34,59,97],"is":[40,86,92,124,141],"presented.":[41],"From":[42],"machine":[43],"learning":[44],"and":[45,62,112,133],"natural":[46],"language":[47],"processing":[48],"principles,":[49],"topic":[51,70,90],"model":[52,71,91],"might":[53],"used":[55],"extracting":[57],"implicit":[58],"underlying":[60],"massive":[61],"unstructured":[63],"collection":[64],"incoming":[66],"data.":[67,100],"To":[68],"apply":[69],"data,":[74],"PQk-means":[75,123],"vector":[76],"quantization":[77],"convert":[79],"record":[82],"code":[84],"documents":[85],"introduced.":[87],"Then,":[88],"applied":[93],"fact,":[102],"courses,":[103],"not":[104],"only":[105],"encompasses":[106],"locations,":[108],"but":[109],"also":[110],"headings":[111],"speeds,":[113],"are":[114],"recognized":[115],"by":[116,143],"the":[117,127,139],"proposed":[118],"algorithm.":[119],"The":[120,136],"performance":[121],"evaluated":[125],"using":[126],"relative":[128],"root":[129],"mean":[130],"square":[131],"error":[132],"elapsed":[134],"time.":[135],"potential":[137],"illustrated":[142],"series":[145],"experimental":[147],"results":[148],"derived":[149],"practical":[151],"set":[154],"in":[155],"region":[157],"North":[159],"West":[160],"France.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}