{"id":"https://openalex.org/W2752893112","doi":"https://doi.org/10.1145/3106736","title":"Toward Mining Stop-by Behaviors in Indoor Space","display_name":"Toward Mining Stop-by Behaviors in Indoor Space","publication_year":2017,"publication_date":"2017-06-30","ids":{"openalex":"https://openalex.org/W2752893112","doi":"https://doi.org/10.1145/3106736","mag":"2752893112"},"language":"en","primary_location":{"id":"doi:10.1145/3106736","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106736","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-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/A5043682548","display_name":"Shan-Yun Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shan-Yun Teng","raw_affiliation_strings":["National Cheng Kung University, Tainan City, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan City, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001457193","display_name":"Wei\u2010Shinn Ku","orcid":"https://orcid.org/0000-0001-8636-4689"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Shinn Ku","raw_affiliation_strings":["Auburn University, AL, USA"],"affiliations":[{"raw_affiliation_string":"Auburn University, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034198742","display_name":"Kun-Ta Chuang","orcid":"https://orcid.org/0000-0002-3914-8550"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Ta Chuang","raw_affiliation_strings":["National Cheng Kung University, Tainan City, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan City, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043682548"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":1.1095,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79134755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":"2","first_page":"1","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9952999949455261,"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":0.9952999949455261,"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":0.994700014591217,"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":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7779629826545715},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6129791140556335},{"id":"https://openalex.org/keywords/overcrowding","display_name":"Overcrowding","score":0.5501669645309448},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.532738983631134},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.4957621991634369},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4560915529727936},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.418325811624527},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41044679284095764},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32029104232788086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20538660883903503},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13504159450531006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779629826545715},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6129791140556335},{"id":"https://openalex.org/C2778872837","wikidata":"https://www.wikidata.org/wiki/Q7113614","display_name":"Overcrowding","level":2,"score":0.5501669645309448},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.532738983631134},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.4957621991634369},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4560915529727936},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.418325811624527},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41044679284095764},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32029104232788086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20538660883903503},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13504159450531006},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106736","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106736","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.550000011920929,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4084449515","display_name":null,"funder_award_id":"IIS-1618669 (III) and ACI-1642133 (CICI)","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W27140714","https://openalex.org/W110175884","https://openalex.org/W122256684","https://openalex.org/W571841896","https://openalex.org/W1211953102","https://openalex.org/W1490591387","https://openalex.org/W1506285740","https://openalex.org/W1537336823","https://openalex.org/W1539535840","https://openalex.org/W1548445892","https://openalex.org/W1549547341","https://openalex.org/W1550759561","https://openalex.org/W1578176060","https://openalex.org/W1633983593","https://openalex.org/W1794915560","https://openalex.org/W1981842164","https://openalex.org/W1984606279","https://openalex.org/W1990800901","https://openalex.org/W2017626208","https://openalex.org/W2048724530","https://openalex.org/W2052296830","https://openalex.org/W2052496634","https://openalex.org/W2066406253","https://openalex.org/W2074432012","https://openalex.org/W2075772152","https://openalex.org/W2079848516","https://openalex.org/W2093751752","https://openalex.org/W2099627672","https://openalex.org/W2100877785","https://openalex.org/W2102164413","https://openalex.org/W2110796598","https://openalex.org/W2115068461","https://openalex.org/W2115330677","https://openalex.org/W2115482638","https://openalex.org/W2116316066","https://openalex.org/W2118269922","https://openalex.org/W2119493805","https://openalex.org/W2119939946","https://openalex.org/W2120934516","https://openalex.org/W2122307358","https://openalex.org/W2123512454","https://openalex.org/W2137536943","https://openalex.org/W2143946380","https://openalex.org/W2144550310","https://openalex.org/W2147694185","https://openalex.org/W2150122302","https://openalex.org/W2158454296","https://openalex.org/W2162034534","https://openalex.org/W2165211504","https://openalex.org/W2166559705","https://openalex.org/W2172146718","https://openalex.org/W2177383512","https://openalex.org/W2257634370","https://openalex.org/W2321173860","https://openalex.org/W2400947675","https://openalex.org/W2402702568","https://openalex.org/W2424974143","https://openalex.org/W2548927174","https://openalex.org/W2586256972","https://openalex.org/W2627491027","https://openalex.org/W2769353087","https://openalex.org/W2998574808","https://openalex.org/W3150565720"],"related_works":["https://openalex.org/W4321054264","https://openalex.org/W1992503747","https://openalex.org/W2416482338","https://openalex.org/W64066771","https://openalex.org/W2371519816","https://openalex.org/W2043154226","https://openalex.org/W1538085484","https://openalex.org/W4285209920","https://openalex.org/W2369529107","https://openalex.org/W2736248901"],"abstract_inverted_index":{"In":[0,141],"this":[1,142],"article,":[2,143],"we":[3,61,174],"explore":[4],"a":[5,35,82,110,130],"new":[6,30],"mining":[7,105,119],"paradigm,":[8],"called":[9],"Indoor":[10,149],"Stop-by":[11,150],"Patterns":[12,151],"(":[13,153],"ISP":[14],"),":[15],"to":[16,89,161,186],"discover":[17,203],"user":[18,99],"stop-by":[19,74],"behavior":[20],"in":[21,41,52,86],"mall-like":[22],"indoor":[23,42,73,87,120],"environments.":[24],"The":[25,104],"discovery":[26],"of":[27,72,98,106,133],"ISPs":[28,92,107,165,205],"enables":[29],"marketing":[31,212],"collaborations,":[32],"such":[33],"as":[34],"joint":[36],"coupon":[37],"promotion,":[38],"among":[39],"stores":[40],"spaces":[43],"(e.g.,":[44],"shopping":[45],"malls).":[46],"Moreover,":[47,173],"it":[48,80],"can":[49,201,207],"also":[50],"help":[51],"eliminating":[53],"the":[54,63,70,96,144,158,188,197],"overcrowding":[55],"situation.":[56],"To":[57],"pursue":[58],"better":[59],"practicability,":[60],"consider":[62],"cost-effective":[64],"wireless":[65],"sensor-based":[66],"environment":[67],"and":[68,179,190,206],"conduct":[69],"analysis":[71],"behaviors":[75],"on":[76,118,125],"real":[77],"data.":[78],"However,":[79],"is":[81,101],"highly":[83],"challenging":[84],"issue,":[85],"environments,":[88],"retrieve":[90],"frequent":[91],",":[93],"especially":[94],"when":[95],"issue":[97],"privacy":[100],"highlighted":[102],"nowadays.":[103],"will":[108],"face":[109],"critical":[111],"challenge":[112],"from":[113,170],"spatial":[114],"uncertainty.":[115],"Previous":[116],"work":[117],"movement":[121],"patterns":[122],"usually":[123],"relies":[124],"precise":[126],"spatio-temporal":[127],"information":[128],"by":[129],"specific":[131],"deployment":[132],"positioning":[134],"devices,":[135],"which":[136],"cannot":[137],"be":[138],"directly":[139],"applied.":[140],"proposed":[145,198],"Probabilistic":[146],"Top-":[147],"k":[148,164],"Discovery":[152],"PTkISP":[154,199],")":[155],"framework":[156,200],"incorporates":[157],"probabilistic":[159],"model":[160,178],"identify":[162],"top-":[163],"over":[166],"uncertain":[167,177],"data":[168],"collected":[169],"sensing":[171],"logs.":[172],"develop":[175],"an":[176,181],"devise":[180],"Index":[182],"1-itemset":[183],"(IIS)":[184],"algorithm":[185],"enhance":[187],"accuracy":[189],"efficiency.":[191],"Our":[192],"experimental":[193],"studies":[194],"show":[195],"that":[196],"efficiently":[202],"high-quality":[204],"provide":[208],"insightful":[209],"observations":[210],"for":[211],"collaborations.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}