{"id":"https://openalex.org/W2427751694","doi":"https://doi.org/10.1109/icde.2016.7498346","title":"ANALOC: Efficient analytics over Location Based Services","display_name":"ANALOC: Efficient analytics over Location Based Services","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2427751694","doi":"https://doi.org/10.1109/icde.2016.7498346","mag":"2427751694"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2016.7498346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","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/A5078501632","display_name":"Md Farhadur Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Farhadur Rahman","raw_affiliation_strings":["University of Texas, Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010816591","display_name":"Saad Bin Suhaim","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saad Bin Suhaim","raw_affiliation_strings":["The George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077974888","display_name":"Weimo Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weimo Liu","raw_affiliation_strings":["The George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066004392","display_name":"Saravanan Thirumuruganathan","orcid":"https://orcid.org/0000-0002-1517-480X"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saravanan Thirumuruganathan","raw_affiliation_strings":["University of Texas, Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331225","display_name":"Nan Zhang","orcid":"https://orcid.org/0000-0001-7328-6159"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["The George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002203026","display_name":"Gautam Das","orcid":"https://orcid.org/0000-0002-4627-9065"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gautam Das","raw_affiliation_strings":["University of Texas, Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Arlington","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7658,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.71193198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1366","last_page":"1369"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9879000186920166,"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":0.8378192782402039},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.7873778343200684},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.7120532989501953},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5600101351737976},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5388237237930298},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.537306010723114},{"id":"https://openalex.org/keywords/crawling","display_name":"Crawling","score":0.5201342701911926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5116827487945557},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.43362003564834595},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.41046640276908875},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3383016884326935},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14336585998535156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11147800087928772},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09463140368461609}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8378192782402039},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.7873778343200684},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7120532989501953},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5600101351737976},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5388237237930298},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.537306010723114},{"id":"https://openalex.org/C100368936","wikidata":"https://www.wikidata.org/wiki/Q1411725","display_name":"Crawling","level":2,"score":0.5201342701911926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5116827487945557},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.43362003564834595},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41046640276908875},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3383016884326935},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14336585998535156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11147800087928772},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09463140368461609},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2016.7498346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1498151767","https://openalex.org/W2023966441","https://openalex.org/W2145149294"],"related_works":["https://openalex.org/W3105666473","https://openalex.org/W1992987618","https://openalex.org/W1523135049","https://openalex.org/W2092099173","https://openalex.org/W2733768227","https://openalex.org/W2337805078","https://openalex.org/W2144071680","https://openalex.org/W4302065873","https://openalex.org/W2413066175","https://openalex.org/W2427751694"],"abstract_inverted_index":{"Location":[0],"Based":[1],"Services":[2],"(LBS),":[3],"including":[4],"standalone":[5],"ones":[6,13],"such":[7,14,46,68,109,251,269],"as":[8,15,47,69,110,126,188,252,270],"Google":[9,271],"Maps":[10],"and":[11,43,72,212,229,274],"embedded":[12],"\u201cusers":[16],"near":[17],"me\u201d":[18],"in":[19,100,178,280],"the":[20,75,96,101,119,127,196,202,220,227,284,291],"WeChat":[21,273],"instant-messaging":[22],"platform,":[23],"provide":[24,283],"great":[25],"utility":[26],"to":[27,61,195,247,262,282],"millions":[28],"of":[29,121,135,169,205,209,231,290,293],"users.":[30],"Not":[31],"only":[32,76,225],"that,":[33],"they":[34,79],"also":[35,238],"form":[36],"an":[37,122,131,144,162],"important":[38],"data":[39,70],"source":[40],"for":[41,66,90,184],"geospatial":[42,186],"commercial":[44],"information":[45],"Point-Of-Interest":[48],"(POI)":[49],"locations,":[50],"review":[51],"ratings,":[52],"user":[53],"geo-distributions,":[54],"etc.":[55,256],"Unfortunately,":[56],"it":[57],"is":[58,81,105,260],"not":[59,224],"easy":[60],"tap":[62],"into":[63],"these":[64,241],"LBS":[65,140,163,265],"tasks":[67],"analytics":[71,160],"mining,":[73],"because":[74],"access":[77,194],"interface":[78,87,116],"offer":[80],"a":[82,91,106,153,166,206,287],"limited":[83,115],"k-Nearest-Neighbor":[84],"(kNN)":[85],"search":[86],"-":[88],"i.e.,":[89],"given":[92],"input":[93],"location,":[94],"return":[95],"k":[97,104,129],"nearest":[98],"tuples":[99],"database,":[102,125],"where":[103],"small":[107,128,167],"constant":[108],"50":[111],"or":[112,147,267],"100.":[113],"This":[114],"essentially":[117],"precludes":[118],"crawling":[120],"LBS'":[123],"underlying":[124,197,233],"mandates":[130],"extremely":[132],"large":[133],"number":[134,168],"queries":[136,170],"that":[137,157],"no":[138],"real-world":[139,264],"would":[141],"allow":[142],"from":[143],"IP":[145],"address":[146],"API":[148],"account.":[149],"We":[150],"demonstrate":[151],"ANALOC,":[152],"web":[154],"based":[155],"system":[156,259],"enables":[158],"fast":[159],"over":[161,215],"by":[164],"issuing":[165],"through":[171],"its":[172],"restricted":[173],"kNN":[174],"interface.":[175],"ANALOC":[176,200],"stands":[177],"sharp":[179],"contrast":[180],"with":[181,286],"existing":[182],"systems":[183,190],"analyzing":[185],"data,":[187],"those":[189],"mostly":[191],"assume":[192],"complete":[193],"data.":[198],"Specifically,":[199],"supports":[201],"approximate":[203],"processing":[204],"wide":[207],"variety":[208],"SUM,":[210],"COUNT":[211],"AVG":[213],"aggregates":[214,243],"user-specified":[216],"selection":[217],"conditions.":[218],"In":[219],"demonstration,":[221],"we":[222],"shall":[223],"illustrate":[226],"design":[228],"accuracy":[230],"our":[232],"aggregate":[234],"estimation":[235],"techniques,":[236],"but":[237],"showcase":[239],"how":[240],"estimated":[242],"can":[244],"be":[245],"used":[246],"enable":[248],"exciting":[249],"applications":[250],"hotspot":[253],"detection,":[254],"infographics,":[255],"Our":[257],"demonstration":[258],"designed":[261],"query":[263],"(systems":[266],"modules)":[268],"Maps,":[272],"Sina":[275],"Weibo":[276],"at":[277],"real":[278],"time,":[279],"order":[281],"audience":[285],"practical":[288],"understanding":[289],"performance":[292],"ANALOC.":[294]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}