{"id":"https://openalex.org/W3082325753","doi":"https://doi.org/10.1145/3402569.3409040","title":"Multi-System Sensors' Route Forecast to Aerial Target Based on Data Mining","display_name":"Multi-System Sensors' Route Forecast to Aerial Target Based on Data Mining","publication_year":2020,"publication_date":"2020-05-22","ids":{"openalex":"https://openalex.org/W3082325753","doi":"https://doi.org/10.1145/3402569.3409040","mag":"3082325753"},"language":"en","primary_location":{"id":"doi:10.1145/3402569.3409040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3402569.3409040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Distance Education and Learning","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000063938","display_name":"Lu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144142","display_name":"Hangzhou Institute of Applied Acoustics","ror":"https://ror.org/0473ary24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Huang","raw_affiliation_strings":["YangZhou Marine Electronia, Instruments Institute, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"YangZhou Marine Electronia, Instruments Institute, China","institution_ids":["https://openalex.org/I4210144142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048985456","display_name":"NI Tian-quan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144142","display_name":"Hangzhou Institute of Applied Acoustics","ror":"https://ror.org/0473ary24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianquan Ni","raw_affiliation_strings":["YangZhou Marine Electronia, Instruments Institute, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"YangZhou Marine Electronia, Instruments Institute, China","institution_ids":["https://openalex.org/I4210144142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210144142"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"152","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11106","display_name":"Data Management and Algorithms","score":0.9934999942779541,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105094194412231},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.685951292514801},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6736482381820679},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5269181132316589},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.44646525382995605},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4310249090194702},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.4137577414512634},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.38280051946640015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3550364375114441}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105094194412231},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.685951292514801},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6736482381820679},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5269181132316589},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.44646525382995605},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4310249090194702},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.4137577414512634},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38280051946640015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3550364375114441},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3402569.3409040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3402569.3409040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Distance Education and Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1585646276","https://openalex.org/W1597161471","https://openalex.org/W2066771339","https://openalex.org/W2097796870","https://openalex.org/W2151725564","https://openalex.org/W2319840716","https://openalex.org/W4252403066","https://openalex.org/W4300417575"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2005337052","https://openalex.org/W1568122762","https://openalex.org/W853822470","https://openalex.org/W621585789","https://openalex.org/W2152713066"],"abstract_inverted_index":{"When":[0],"multi-system":[1,24],"is":[2,15,145],"submitted":[3],"to":[4,10,16,40,61,147],"target":[5,12,20,69,87,150,160],"interference,":[6],"the":[7,19,27,52,63,73,91,102,107,115,123,127,135,140,157],"only":[8],"way":[9],"realize":[11,148],"initial":[13],"positioning":[14],"begin":[17],"from":[18],"associated":[21,136],"angle":[22,137],"by":[23],"sensors.":[25],"Applies":[26],"improved":[28],"triangulation":[29],"method":[30,32,53],"and":[31,82,112,114],"of":[33,43,54,58,68,75,90,101,118,139,159],"MVEKF":[34],"tracking":[35],"algorithm":[36],"based":[37],"on":[38],"multi-platform":[39],"raise":[41],"capacity":[42],"system":[44,128,141],"cooperative":[45],"localization,":[46],"perform":[47],"accuracy":[48],"forecast.":[49],"Introduce":[50],"with":[51],"association":[55],"rules":[56],"analysis":[57,138],"data":[59],"mining":[60],"meet":[62],"space-time":[64],"requirement":[65],"in":[66,86,98],"problem":[67],"route":[70,151],"forecast;":[71],"Adopt":[72],"methods":[74],"setting":[76],"augmented":[77],"matrix,":[78],"building":[79],"vector":[80,83],"subspace":[81],"inner":[84],"product":[85],"dynamics":[88],"database":[89,100,108],"detective":[92],"system,":[93,104],"extract":[94],"frequent":[95,119],"item":[96,120],"sets":[97,121],"dynamic":[99,110,130],"detection":[103],"quickly":[105],"find":[106],"tuple":[109],"additions":[111],"deletions":[113],"solution":[116],"update":[117,132],"while":[122],"Minsup":[124],"changes,":[125],"making":[126],"collaboration":[129],"library":[131],"quickly.":[133],"Integrate":[134],"observed":[142],"target,":[143],"it":[144],"able":[146],"real-time":[149],"forecast,":[152],"so":[153],"that":[154],"effectively":[155],"reduce":[156],"probability":[158],"penetration.":[161]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
