{"id":"https://openalex.org/W4385971600","doi":"https://doi.org/10.3233/scs-230013","title":"Categorization of crowd-sensing streaming data for contextual characteristic detection","display_name":"Categorization of crowd-sensing streaming data for contextual characteristic detection","publication_year":2023,"publication_date":"2023-08-18","ids":{"openalex":"https://openalex.org/W4385971600","doi":"https://doi.org/10.3233/scs-230013"},"language":"en","primary_location":{"id":"doi:10.3233/scs-230013","is_oa":true,"landing_page_url":"https://doi.org/10.3233/scs-230013","pdf_url":"https://content.iospress.com:443/download/journal-of-smart-cities-and-society/scs230013?id=journal-of-smart-cities-and-society%2Fscs230013","source":{"id":"https://openalex.org/S4220651211","display_name":"Journal of Smart Cities and Society","issn_l":"2772-3577","issn":["2772-3577","2772-3585"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Smart Cities and Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/journal-of-smart-cities-and-society/scs230013?id=journal-of-smart-cities-and-society%2Fscs230013","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071940171","display_name":"Philipp Kisters","orcid":null},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Philipp Kisters","raw_affiliation_strings":["Department of Computer Science, Universit\u00e4t Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111026378","display_name":"Hanno Schreiber","orcid":null},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hanno Schreiber","raw_affiliation_strings":["Department of Computer Science, Universit\u00e4t Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038131243","display_name":"Janick Edinger","orcid":"https://orcid.org/0000-0002-9392-2922"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Janick Edinger","raw_affiliation_strings":["Department of Computer Science, Universit\u00e4t Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071940171"],"corresponding_institution_ids":["https://openalex.org/I159176309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09870439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"2","first_page":"55","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9988999962806702,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8133213520050049},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7333511114120483},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6803287863731384},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6316961050033569},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5812631845474243},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5756571888923645},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5749327540397644},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5731425285339355},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5546886324882507},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.48126858472824097},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.4492373764514923},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4125555753707886},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4108862578868866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38857656717300415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33054420351982117},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09157958626747131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8133213520050049},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7333511114120483},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6803287863731384},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6316961050033569},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5812631845474243},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5756571888923645},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5749327540397644},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5731425285339355},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5546886324882507},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.48126858472824097},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.4492373764514923},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4125555753707886},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4108862578868866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38857656717300415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33054420351982117},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09157958626747131},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/scs-230013","is_oa":true,"landing_page_url":"https://doi.org/10.3233/scs-230013","pdf_url":"https://content.iospress.com:443/download/journal-of-smart-cities-and-society/scs230013?id=journal-of-smart-cities-and-society%2Fscs230013","source":{"id":"https://openalex.org/S4220651211","display_name":"Journal of Smart Cities and Society","issn_l":"2772-3577","issn":["2772-3577","2772-3585"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Smart Cities and Society","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3233/scs-230013","is_oa":true,"landing_page_url":"https://doi.org/10.3233/scs-230013","pdf_url":"https://content.iospress.com:443/download/journal-of-smart-cities-and-society/scs230013?id=journal-of-smart-cities-and-society%2Fscs230013","source":{"id":"https://openalex.org/S4220651211","display_name":"Journal of Smart Cities and Society","issn_l":"2772-3577","issn":["2772-3577","2772-3585"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Smart Cities and Society","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385971600.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1987971958","https://openalex.org/W2010254953","https://openalex.org/W2036202055","https://openalex.org/W2043803919","https://openalex.org/W2099648072","https://openalex.org/W2122646361","https://openalex.org/W2128569883","https://openalex.org/W2151326673","https://openalex.org/W2165116724","https://openalex.org/W2165835468","https://openalex.org/W2727746016","https://openalex.org/W2768131968","https://openalex.org/W2792799947","https://openalex.org/W2887731362","https://openalex.org/W2967842289","https://openalex.org/W2969036129","https://openalex.org/W3012082538","https://openalex.org/W3018019331","https://openalex.org/W3039352388","https://openalex.org/W3047381018","https://openalex.org/W3106312933","https://openalex.org/W3147178137","https://openalex.org/W4230237401","https://openalex.org/W4240592325","https://openalex.org/W4313343234","https://openalex.org/W6779988842"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"The":[0,33,155,170],"growing":[1],"reliance":[2],"on":[3],"large":[4,92],"wireless":[5],"sensor":[6,122],"networks,":[7,48],"potentially":[8],"consisting":[9,124],"of":[10,12,36,46,94,101,125,166,176,187,193],"hundreds":[11],"nodes,":[13,128],"to":[14,28,52,70,74,80,87,90,138,146,151,181,190],"monitor":[15],"real-world":[16,115],"phenomena":[17],"inevitably":[18],"results":[19],"in":[20,38,61,143,163,178,199],"large,":[21],"complex":[22,95,107,149],"datasets":[23],"that":[24],"become":[25],"increasingly":[26],"difficult":[27,51],"process":[29,91],"using":[30,111],"traditional":[31,112],"methods.":[32],"inadvertent":[34],"inclusion":[35],"anomalies":[37],"the":[39,43,148,164,174,179,185,191,197],"dataset,":[40],"resulting":[41],"from":[42,56],"inherent":[44],"characteristics":[45,177,195],"these":[47,75],"makes":[49],"it":[50],"isolate":[53],"interesting":[54],"events":[55],"erroneous":[57],"measurements.":[58],"Simultaneously,":[59],"improvements":[60],"data":[62,82,103,117,130,145],"science":[63,104,131],"methods,":[64],"as":[65,67],"well":[66],"increased":[68],"accessibility":[69],"powerful":[71],"computers,":[72],"lead":[73],"techniques":[76],"becoming":[77],"more":[78],"applicable":[79],"everyday":[81],"mining":[83],"problems.":[84],"In":[85],"addition":[86],"being":[88],"able":[89],"amounts":[93],"streaming":[96,116],"data,":[97],"a":[98,120,167,182],"wide":[99],"array":[100],"specialized":[102],"methods":[105,132,156],"enables":[106],"analysis":[108,160],"not":[109],"possible":[110],"techniques.":[113],"Using":[114],"gathered":[118],"by":[119],"temperature":[121],"network":[123],"approximately":[126],"600":[127],"various":[129,194],"were":[133,161],"analyzed":[134],"for":[135],"their":[136],"ability":[137],"exploit":[139],"implicit":[140],"dependencies":[141],"embedded":[142],"unlabelled":[144],"solve":[147],"task":[150],"identify":[152],"contextual":[153],"characteristics.":[154],"identified":[157],"during":[158],"this":[159],"included":[162],"construction":[165],"software":[168],"pipeline.":[169],"constructed":[171],"pipeline":[172],"reduced":[173],"identification":[175],"dataset":[180],"trivial":[183],"task,":[184],"application":[186],"which":[188,200],"led":[189],"detection":[192],"describing":[196],"context":[198],"sensors":[201],"are":[202],"deployed.":[203]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
