{"id":"https://openalex.org/W2970951867","doi":"https://doi.org/10.1145/3352411.3352437","title":"Individual Characteristics Analytical Models based on Deep Learning, Trajectory and Social Network Data","display_name":"Individual Characteristics Analytical Models based on Deep Learning, Trajectory and Social Network Data","publication_year":2019,"publication_date":"2019-07-19","ids":{"openalex":"https://openalex.org/W2970951867","doi":"https://doi.org/10.1145/3352411.3352437","mag":"2970951867"},"language":"en","primary_location":{"id":"doi:10.1145/3352411.3352437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3352411.3352437","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 2nd International Conference on Data Science and Information Technology","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/A5057642703","display_name":"Dechang Wang","orcid":"https://orcid.org/0000-0001-8873-8023"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dechang Wang","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073242202","display_name":"Buyang Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210136431","display_name":"Shanghai Tongji Urban Planning and Design Institute","ror":"https://ror.org/03gb38m78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136431"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Buyang Cao","raw_affiliation_strings":["College of Architecture and Urban Planning, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Architecture and Urban Planning, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210136431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083029860","display_name":"Zhenfang Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfang Chu","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"160","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9955000281333923,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9955000281333923,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8047365546226501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7930397987365723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544078588485718},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6386204957962036},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6309001445770264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5761433243751526},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5247561931610107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4810912311077118},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.454424649477005},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4351922869682312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09011223912239075}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8047365546226501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930397987365723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544078588485718},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6386204957962036},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6309001445770264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5761433243751526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5247561931610107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4810912311077118},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.454424649477005},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4351922869682312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09011223912239075},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3352411.3352437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3352411.3352437","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 2nd International Conference on Data Science and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2028434608","https://openalex.org/W2043815100","https://openalex.org/W2076219102","https://openalex.org/W2291868800","https://openalex.org/W2742956140"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W4375867731","https://openalex.org/W4360995134","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W4380075502"],"abstract_inverted_index":{"The":[0,30],"analysis":[1],"of":[2,33,50,85,120],"individual":[3,12,51,121],"characteristics":[4,13,52],"in":[5,14],"this":[6,34],"paper":[7],"refers":[8],"to":[9,18,37,46],"analyze":[10],"the":[11,20,48,79,92,99,103,118],"a":[15],"certain":[16],"field":[17],"draw":[19],"relevant":[21],"conclusions":[22],"such":[23],"as":[24],"classification,":[25],"scoring":[26],"and":[27,42,67,102],"so":[28],"on.":[29],"main":[31],"purpose":[32],"study":[35],"is":[36],"apply":[38],"deep":[39],"learning,":[40],"trajectory":[41,62],"social":[43,74],"network":[44,75,80],"data":[45,63,76],"enhance":[47],"process":[49],"analysis.":[53],"We":[54],"developed":[55],"an":[56,68],"algorithm":[57,69],"for":[58,70],"extracting":[59],"features":[60,72,93],"from":[61,73],"based":[64,77],"on":[65,78,126],"LSTM":[66],"retrieving":[71],"structural":[81],"characteristics.":[82],"A":[83],"series":[84],"computational":[86],"experiments":[87],"were":[88],"conducted":[89],"by":[90,95,124],"employing":[91],"extracted":[94],"our":[96,114],"algorithms.":[97],"According":[98],"experimental":[100],"results":[101],"comparisons":[104],"with":[105],"some":[106],"existing":[107],"classification":[108,123],"models,":[109],"we":[110],"can":[111,116],"conclude":[112],"that":[113],"approach":[115],"improve":[117],"accuracy":[119],"feature":[122],"5%":[125],"average.":[127]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
