{"id":"https://openalex.org/W2068782633","doi":"https://doi.org/10.1109/tkde.2014.2373359","title":"Indexing Earth Mover\u2019s Distance over Network Metrics","display_name":"Indexing Earth Mover\u2019s Distance over Network Metrics","publication_year":2014,"publication_date":"2014-11-20","ids":{"openalex":"https://openalex.org/W2068782633","doi":"https://doi.org/10.1109/tkde.2014.2373359","mag":"2068782633"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2014.2373359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2373359","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5100428031","display_name":"Ting Wang","orcid":"https://orcid.org/0009-0007-0071-1127"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ting Wang","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY","IBM Thomas J. Watson Research Center Yorktown Heights, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center Yorktown Heights, NY#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011680290","display_name":"Shicong Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shicong Meng","raw_affiliation_strings":["Facebook, Inc., Menlo Park, CA","Facebook, Inc,Menlo Park,CA"],"affiliations":[{"raw_affiliation_string":"Facebook, Inc., Menlo Park, CA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]},{"raw_affiliation_string":"Facebook, Inc,Menlo Park,CA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101544242","display_name":"Jiang Bian","orcid":"https://orcid.org/0000-0003-2997-1727"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jiang Bian","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P.R. China","[Microsoft Research Asia, Beijing, P.R. China]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"[Microsoft Research Asia, Beijing, P.R. China]","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100428031"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56903935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":"6","first_page":"1588","last_page":"1601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"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":0.9864000082015991,"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/search-engine-indexing","display_name":"Search engine indexing","score":0.558312177658081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5236415863037109},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5151468515396118},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.48787975311279297},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.46845388412475586},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4541863203048706},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.45140939950942993},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44947028160095215},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.4490445852279663},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3455595374107361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33648136258125305},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.296904057264328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22438138723373413},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2152031660079956},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09274148941040039}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.558312177658081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5236415863037109},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5151468515396118},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.48787975311279297},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.46845388412475586},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4541863203048706},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.45140939950942993},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44947028160095215},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.4490445852279663},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3455595374107361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33648136258125305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.296904057264328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22438138723373413},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2152031660079956},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09274148941040039},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2014.2373359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2373359","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W193577615","https://openalex.org/W1035080392","https://openalex.org/W1512588309","https://openalex.org/W1605301393","https://openalex.org/W1608675337","https://openalex.org/W1903932548","https://openalex.org/W1983176418","https://openalex.org/W1991635064","https://openalex.org/W1991909257","https://openalex.org/W1999625406","https://openalex.org/W2000705203","https://openalex.org/W2008620264","https://openalex.org/W2022858489","https://openalex.org/W2039682702","https://openalex.org/W2045921448","https://openalex.org/W2053913299","https://openalex.org/W2069323107","https://openalex.org/W2082737904","https://openalex.org/W2085234022","https://openalex.org/W2101319014","https://openalex.org/W2109195186","https://openalex.org/W2111187465","https://openalex.org/W2114811871","https://openalex.org/W2143668817","https://openalex.org/W2144265691","https://openalex.org/W2149463264","https://openalex.org/W2153259545","https://openalex.org/W2155502235","https://openalex.org/W2156855109","https://openalex.org/W2157339239","https://openalex.org/W2162006472","https://openalex.org/W2166597993","https://openalex.org/W2254589950","https://openalex.org/W2296319761","https://openalex.org/W2408083658","https://openalex.org/W4250589301","https://openalex.org/W6607867597","https://openalex.org/W6636129442","https://openalex.org/W6660261405","https://openalex.org/W6661925947","https://openalex.org/W6677127403","https://openalex.org/W6681117370","https://openalex.org/W6682413954","https://openalex.org/W6682786731","https://openalex.org/W6682888194","https://openalex.org/W6683872277","https://openalex.org/W6684635085"],"related_works":["https://openalex.org/W2148008870","https://openalex.org/W2381195555","https://openalex.org/W4246757943","https://openalex.org/W2368606575","https://openalex.org/W1949910768","https://openalex.org/W2132753198","https://openalex.org/W2369874856","https://openalex.org/W1882921205","https://openalex.org/W2097149198","https://openalex.org/W3171568022"],"abstract_inverted_index":{"The":[0],"Earth":[1],"Mover\u2019s":[2],"Distance":[3],"(EMD)":[4],"is":[5],"a":[6,17,51,92,120,139],"well-known":[7],"distance":[8],"metric":[9],"for":[10,40],"data":[11,176],"represented":[12],"as":[13],"probability":[14],"distributions":[15],"over":[16],"predefined":[18],"feature":[19,44,102],"space.":[20],"Supporting":[21],"EMD-based":[22],"similarity":[23,108],"search":[24],"has":[25],"attracted":[26],"intensive":[27],"research":[28],"effort.":[29],"Despite":[30],"the":[31,55,69,98,125,184],"plethora":[32],"of":[33,53,71,101,127],"literature,":[34],"most":[35],"existing":[36],"solutions":[37],"are":[38,59],"optimized":[39],"<inline-formula>":[41,78],"<tex-math":[42,79],"notation=\"LaTeX\">$L^p$</tex-math></inline-formula>":[43],"spaces":[45],"(e.g.,":[46],"Euclidean":[47],"space);":[48],"while":[49],"in":[50,187],"spectrum":[52],"applications,":[54],"relationships":[56],"between":[57],"features":[58],"better":[60],"captured":[61],"using":[62,171],"networks.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,178],"study":[68],"problem":[70],"answering":[72],"<inline-formula><tex-math":[73,128],"notation=\"LaTeX\">$k$</tex-math></inline-formula>":[74,80,129],"-nearest":[75],"neighbor":[76,132],"(":[77],"-NN)":[81],"queries":[82],"under":[83,133],"network-based":[84],"EMD":[85],"metrics":[86],"(NEMD).":[87],"We":[88],"propose":[89],"<small>Oasis</small>":[90,111,181],",":[91,119,138,153],"new":[93],"access":[94],"method":[95],"which":[96],"leverages":[97],"network":[99],"structure":[100,140],"space":[103],"and":[104,148,174],"enables":[105],"efficient":[106],"NEMD-based":[107],"search.":[109],"Specifically,":[110],"employs":[112],"three":[113],"novel":[114],"techniques:":[115],"(i)":[116],"<i>Range":[117],"Oracle</i>":[118],"scalable":[121],"model":[122],"to":[123,164],"estimate":[124],"range":[126],"-th":[130],"nearest":[131],"NEMD,":[134],"(ii)":[135],"<i>Boundary":[136],"Index</i>":[137],"that":[141,158,180],"efficiently":[142],"fetches":[143],"candidates":[144,163],"within":[145],"given":[146],"range,":[147],"(iii)":[149],"<i>Network":[150],"Compression":[151],"Hierarchy</i>":[152],"an":[154],"incremental":[155],"filtering":[156],"mechanism":[157],"effectively":[159],"prunes":[160],"false":[161],"positive":[162],"save":[165],"unnecessary":[166],"computation.":[167],"Through":[168],"extensive":[169],"experiments":[170],"both":[172],"synthetic":[173],"real":[175],"sets,":[177],"confirmed":[179],"significantly":[182],"outperforms":[183],"state-of-the-art":[185],"methods":[186],"query":[188],"processing":[189],"cost.":[190]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
