{"id":"https://openalex.org/W2904585079","doi":"https://doi.org/10.1109/icspcc.2018.8567805","title":"Incremental Frequent Sub-trajectory Mining Based on Dual Division","display_name":"Incremental Frequent Sub-trajectory Mining Based on Dual Division","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2904585079","doi":"https://doi.org/10.1109/icspcc.2018.8567805","mag":"2904585079"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc.2018.8567805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2018.8567805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5041170845","display_name":"Jing Zheng","orcid":"https://orcid.org/0000-0003-2540-6077"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Zheng","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101575835","display_name":"Guodong Yang","orcid":"https://orcid.org/0000-0002-4385-479X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Yang","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101497728","display_name":"Wang Xiang","orcid":"https://orcid.org/0000-0001-7878-3963"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101706871","display_name":"Zhitao Huang","orcid":"https://orcid.org/0000-0001-7135-5181"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitao Huang","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041170845"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.3303,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5866207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9970999956130981,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8973903656005859},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7711654901504517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7179876565933228},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6659345626831055},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6346890330314636},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5570858716964722},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5510172247886658},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4940681755542755},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4937814176082611},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.4543322026729584},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4495965242385864},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.4125010371208191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2587878108024597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.250781774520874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16954749822616577}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8973903656005859},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7711654901504517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7179876565933228},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6659345626831055},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6346890330314636},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5570858716964722},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5510172247886658},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4940681755542755},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4937814176082611},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.4543322026729584},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4495965242385864},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.4125010371208191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2587878108024597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.250781774520874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16954749822616577},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/icspcc.2018.8567805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2018.8567805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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":16,"referenced_works":["https://openalex.org/W644979858","https://openalex.org/W1501262304","https://openalex.org/W1801564529","https://openalex.org/W1966809779","https://openalex.org/W1968060540","https://openalex.org/W1981398125","https://openalex.org/W2009752994","https://openalex.org/W2015972967","https://openalex.org/W2079216522","https://openalex.org/W2083442964","https://openalex.org/W2092272787","https://openalex.org/W2111876445","https://openalex.org/W2152466832","https://openalex.org/W2322990480","https://openalex.org/W2546650228","https://openalex.org/W6638278518"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W2126194848","https://openalex.org/W3001431193","https://openalex.org/W2955605379","https://openalex.org/W4366491531","https://openalex.org/W2904515274","https://openalex.org/W2024348445","https://openalex.org/W4320024144"],"abstract_inverted_index":{"Frequent":[0],"pattern":[1],"mining":[2,11,107],"has":[3],"been":[4],"one":[5],"of":[6,28,38,84,104],"the":[7,26,29,57,66,72,82,101,119],"most":[8],"important":[9],"data":[10,40],"tasks,":[12],"which":[13,98],"is":[14],"widely":[15],"used":[16],"in":[17,41,60,75,108],"traffic":[18],"management,":[19],"animal":[20],"migration":[21],"and":[22,34,64,122],"path":[23],"prediction.":[24],"In":[25],"view":[27],"large":[30],"scale,":[31],"high":[32],"dimension":[33],"real-time":[35,109],"updating":[36,110],"characteristics":[37],"trajectory":[39,58,67],"free":[42],"space,":[43],"this":[44],"paper":[45],"presents":[46],"an":[47,91],"efficient":[48],"framework":[49,117],"for":[50],"frequent":[51,85,105],"sub-trajectory":[52,86,106],"mining.":[53,87],"Firstly,":[54],"we":[55,70,89],"divide":[56],"twice":[59],"order":[61],"to":[62,78,80],"smooth":[63],"reduce":[65],"effectively.":[68],"Secondly,":[69],"expand":[71],"distance":[73],"measure":[74],"two":[76],"dimensions":[77],"three":[79],"improve":[81],"reliability":[83],"Finally,":[88],"introduce":[90],"incremental":[92],"clustering":[93],"algorithm":[94],"based":[95],"on":[96],"density,":[97],"greatly":[99,121],"reduces":[100],"space-time":[102],"consumption":[103],"database.":[111],"Experimental":[112],"results":[113],"demonstrate":[114],"that":[115],"our":[116],"improved":[118],"efficiency":[120],"obtained":[123],"more":[124],"reliable":[125],"results.":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
