{"id":"https://openalex.org/W2946473180","doi":"https://doi.org/10.1109/comsnets.2019.8711263","title":"TrajSummary: Summarizing Trips of Individuals","display_name":"TrajSummary: Summarizing Trips of Individuals","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2946473180","doi":"https://doi.org/10.1109/comsnets.2019.8711263","mag":"2946473180"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets.2019.8711263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2019.8711263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Communication Systems &amp; Networks (COMSNETS)","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/A5051697740","display_name":"J.M. Manasa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J.M. Manasa","raw_affiliation_strings":["IBM Research, India and USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, India and USA","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075541288","display_name":"Vinay Kolar","orcid":null},"institutions":[{"id":"https://openalex.org/I135428043","display_name":"Cisco Systems (United States)","ror":"https://ror.org/03yt1ez60","country_code":"US","type":"company","lineage":["https://openalex.org/I135428043"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinay Kolar","raw_affiliation_strings":["Cisco Systems, USA"],"affiliations":[{"raw_affiliation_string":"Cisco Systems, USA","institution_ids":["https://openalex.org/I135428043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102781817","display_name":"Karthik Bharath","orcid":"https://orcid.org/0000-0002-6692-3823"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Karthik Bharath","raw_affiliation_strings":["School of Math. Sciences, The University of Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"School of Math. Sciences, The University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103360175","display_name":"Sambit Sahu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sambit Sahu","raw_affiliation_strings":["IBM Research, India and USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, India and USA","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062098685","display_name":"Ravi Kokku","orcid":"https://orcid.org/0000-0001-6418-1689"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravi Kokku","raw_affiliation_strings":["IBM Research, India and USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, India and USA","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030936455","display_name":"Soumya K. Ghosh","orcid":"https://orcid.org/0000-0001-8359-581X"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumya K. Ghosh","raw_affiliation_strings":["Dept. of Computer Science and Engg, Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engg, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051697740"],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0411808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"613","last_page":"618"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9993000030517578,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8535413146018982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7801702618598938},{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.7180299758911133},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.707821786403656},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.624078094959259},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.619391679763794},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5306476950645447},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.47398510575294495},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4722941219806671},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43481141328811646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3431586027145386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31951647996902466},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.1618896722793579},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14048412442207336}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8535413146018982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801702618598938},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.7180299758911133},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.707821786403656},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.624078094959259},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.619391679763794},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5306476950645447},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.47398510575294495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4722941219806671},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43481141328811646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3431586027145386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31951647996902466},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.1618896722793579},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14048412442207336},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets.2019.8711263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2019.8711263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Communication Systems &amp; Networks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1597504361","https://openalex.org/W1626398438","https://openalex.org/W1673310716","https://openalex.org/W1864972570","https://openalex.org/W1981398125","https://openalex.org/W2035890032","https://openalex.org/W2118371392","https://openalex.org/W2125553748","https://openalex.org/W2126194848","https://openalex.org/W2147880780","https://openalex.org/W2165169065","https://openalex.org/W2365906439","https://openalex.org/W4245956207","https://openalex.org/W6636500457","https://openalex.org/W6637131181","https://openalex.org/W6639107604","https://openalex.org/W6681479321"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W2038639482"],"abstract_inverted_index":{"City-scale":[0],"mobility":[1,51],"data":[2],"of":[3,17,27,53],"people":[4],"is":[5,15,93],"recorded":[6],"by":[7],"multiple":[8],"location":[9],"sensing":[10],"applications.":[11],"User":[12],"trajectory":[13,83],"summarization":[14],"one":[16],"the":[18,23],"important":[19],"applications":[20,34],"that":[21,72],"provides":[22],"movement":[24],"pattern":[25],"summary":[26,79],"users,":[28],"which":[29],"can":[30],"be":[31],"used":[32],"in":[33],"such":[35,86],"as":[36,87],"city":[37],"transportation":[38],"planning,":[39],"hyper-targeted":[40],"advertising.":[41],"We":[42,56,70],"propose":[43],"TrajSummary:":[44],"a":[45],"system":[46],"for":[47],"summarizing":[48],"and":[49,68,89],"quantifying":[50],"patterns":[52],"an":[54],"individual.":[55],"evaluate":[57],"three":[58],"novel":[59],"approaches":[60],"to":[61],"cluster":[62],"user":[63,78],"trips":[64],"-":[65],"THRESH,":[66],"L-AWARE":[67],"MODE-EST.":[69],"show":[71],"our":[73],"techniques":[74,100],"provide":[75],"significantly":[76],"superior":[77],"clusters":[80],"than":[81,99],"generic":[82],"clustering":[84],"mechanisms":[85],"SWARM":[88],"TRA-CLUS.":[90],"Our":[91],"approach":[92],"faster;":[94],"we":[95],"perform":[96],"5x":[97],"faster":[98],"using":[101],"Dynamic":[102],"Time":[103],"Warping":[104],"based":[105],"approaches.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
