{"id":"https://openalex.org/W2753982414","doi":"https://doi.org/10.1145/3126973.3126979","title":"Compressing Trajectory for Trajectory Indexing","display_name":"Compressing Trajectory for Trajectory Indexing","publication_year":2017,"publication_date":"2017-07-06","ids":{"openalex":"https://openalex.org/W2753982414","doi":"https://doi.org/10.1145/3126973.3126979","mag":"2753982414"},"language":"en","primary_location":{"id":"doi:10.1145/3126973.3126979","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3126973.3126979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Crowd Science and Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/88015/1/Compressing%20Trajectory%20for%20Trajectory%20Indexing.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022562323","display_name":"Kaiyu Feng","orcid":"https://orcid.org/0000-0002-4196-9366"},"institutions":[{"id":"https://openalex.org/I4210092122","display_name":"BC Research (Canada)","ror":"https://ror.org/00dr4nw61","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210092122"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["CA","SG"],"is_corresponding":true,"raw_author_name":"Kaiyu Feng","raw_affiliation_strings":["Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Interdisciplinary Graduate School, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Interdisciplinary Graduate School, Nanyang Technological University","institution_ids":["https://openalex.org/I4210092122","https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101789458","display_name":"Zhiqi Shen","orcid":"https://orcid.org/0000-0001-7626-7295"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I4210092122","display_name":"BC Research (Canada)","ror":"https://ror.org/00dr4nw61","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210092122"]}],"countries":["CA","SG"],"is_corresponding":false,"raw_author_name":"Zhiqi Shen","raw_affiliation_strings":["Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Interdisciplinary Graduate School, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Interdisciplinary Graduate School, Nanyang Technological University","institution_ids":["https://openalex.org/I4210092122","https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022562323"],"corresponding_institution_ids":["https://openalex.org/I172675005","https://openalex.org/I4210092122"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.117574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9951000213623047,"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/trajectory","display_name":"Trajectory","score":0.9485946893692017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900520324707031},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6512673497200012},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6107221841812134},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.48926636576652527},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4737085700035095},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44531163573265076},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43544289469718933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28329649567604065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16597217321395874},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14449909329414368}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.9485946893692017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900520324707031},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6512673497200012},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6107221841812134},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.48926636576652527},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4737085700035095},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44531163573265076},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43544289469718933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28329649567604065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16597217321395874},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14449909329414368},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3126973.3126979","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3126973.3126979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Crowd Science and Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/88015","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/44524","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/88015/1/Compressing%20Trajectory%20for%20Trajectory%20Indexing.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/88015","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/44524","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/88015/1/Compressing%20Trajectory%20for%20Trajectory%20Indexing.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2753982414.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1485663713","https://openalex.org/W1489091441","https://openalex.org/W1566585832","https://openalex.org/W1600482701","https://openalex.org/W1647934908","https://openalex.org/W1701831467","https://openalex.org/W1964507951","https://openalex.org/W1975946664","https://openalex.org/W1981934656","https://openalex.org/W1989788599","https://openalex.org/W2018947218","https://openalex.org/W2029052362","https://openalex.org/W2060793167","https://openalex.org/W2065663378","https://openalex.org/W2092889706","https://openalex.org/W2107538048","https://openalex.org/W2107633943","https://openalex.org/W2112824976","https://openalex.org/W2126194848","https://openalex.org/W2130723359","https://openalex.org/W2133169498","https://openalex.org/W2133522940","https://openalex.org/W2137224828","https://openalex.org/W2138044257","https://openalex.org/W2171664275","https://openalex.org/W2591110703","https://openalex.org/W3125225857"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W3024364549","https://openalex.org/W2910064364","https://openalex.org/W3162200841"],"abstract_inverted_index":{"Nowadays,":[0],"as":[1],"many":[2,31],"devices":[3],"like":[4],"mobile":[5],"phones":[6],"and":[7,37,59],"smart":[8],"watch/band":[9],"are":[10],"equipped":[11],"with":[12],"GPS-devices,":[13],"a":[14,54,71],"large":[15],"volume":[16],"of":[17,27,73,93],"trajectory":[18,29,46,81,89,97],"data":[19,47,63],"is":[20,48,53,99],"generated":[21],"every":[22],"day.":[23],"With":[24],"the":[25,40,44,61,80],"availability":[26],"such":[28],"data,":[30],"mining":[32],"tasks":[33],"have":[34],"been":[35,76],"proposed":[36],"investigated":[38],"in":[39],"past":[41],"decade.":[42],"Since":[43],"raw":[45,62],"usually":[49],"very":[50],"large,":[51],"it":[52],"big":[55],"challenge":[56],"to":[57,67,78],"analyse":[58],"mine":[60],"directly.":[64],"In":[65],"order":[66],"address":[68],"this":[69],"issue,":[70],"branch":[72],"research":[74,87],"has":[75],"done":[77],"compress":[79],"data.":[82],"This":[83],"paper":[84],"surveys":[85],"recent":[86],"about":[88],"compression.":[90],"An":[91],"overview":[92],"existing":[94],"techniques":[95],"for":[96],"compression":[98],"provided.":[100]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
