{"id":"https://openalex.org/W2798277753","doi":"https://doi.org/10.1145/3183713.3196936","title":"ZigZag","display_name":"ZigZag","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2798277753","doi":"https://doi.org/10.1145/3183713.3196936","mag":"2798277753"},"language":"en","primary_location":{"id":"doi:10.1145/3183713.3196936","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196936","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3196936","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3196936","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102970144","display_name":"Wenhai Li","orcid":"https://orcid.org/0000-0003-3662-6024"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhai Li","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003249","display_name":"Lingfeng Deng","orcid":"https://orcid.org/0009-0001-3149-5099"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfeng Deng","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421551","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-5380-6425"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369885","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-8784-8148"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["University of California, Irvine, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102970144"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.6352,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72350702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"873","last_page":"888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7706762552261353},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7064465880393982},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.699596643447876},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6781013011932373},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5890599489212036},{"id":"https://openalex.org/keywords/auxiliary-memory","display_name":"Auxiliary memory","score":0.5662005543708801},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5156061053276062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45808660984039307},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.41388148069381714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3920440375804901},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3791947364807129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2637319564819336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08548876643180847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706762552261353},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7064465880393982},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.699596643447876},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6781013011932373},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5890599489212036},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.5662005543708801},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5156061053276062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45808660984039307},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.41388148069381714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3920440375804901},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3791947364807129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2637319564819336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08548876643180847},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183713.3196936","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196936","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3196936","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3183713.3196936","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196936","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3196936","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5061023748","display_name":null,"funder_award_id":"61572373 61472290 60903035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8947449171","display_name":null,"funder_award_id":"1305430","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"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798277753.pdf","grobid_xml":"https://content.openalex.org/works/W2798277753.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W22160234","https://openalex.org/W32231268","https://openalex.org/W65332816","https://openalex.org/W1970170253","https://openalex.org/W1974995373","https://openalex.org/W1979666709","https://openalex.org/W1991175610","https://openalex.org/W1994862698","https://openalex.org/W1995847086","https://openalex.org/W2001700730","https://openalex.org/W2009593660","https://openalex.org/W2014601737","https://openalex.org/W2019412213","https://openalex.org/W2020929650","https://openalex.org/W2024605621","https://openalex.org/W2035835285","https://openalex.org/W2037562342","https://openalex.org/W2086067738","https://openalex.org/W2093050254","https://openalex.org/W2096598900","https://openalex.org/W2097184821","https://openalex.org/W2097776316","https://openalex.org/W2100548092","https://openalex.org/W2104599107","https://openalex.org/W2107293766","https://openalex.org/W2119057313","https://openalex.org/W2121269638","https://openalex.org/W2123020735","https://openalex.org/W2127492100","https://openalex.org/W2127675794","https://openalex.org/W2130825214","https://openalex.org/W2131815873","https://openalex.org/W2132313482","https://openalex.org/W2147844972","https://openalex.org/W2150916025","https://openalex.org/W2151930506","https://openalex.org/W2154138844","https://openalex.org/W2157092487","https://openalex.org/W2161936973","https://openalex.org/W2166400748","https://openalex.org/W2167331726","https://openalex.org/W2167847032","https://openalex.org/W2169387919","https://openalex.org/W2169795703","https://openalex.org/W2170478076","https://openalex.org/W2286724461","https://openalex.org/W2294222380","https://openalex.org/W2294331997","https://openalex.org/W2396588571","https://openalex.org/W2564464327","https://openalex.org/W2585936885","https://openalex.org/W2619410666","https://openalex.org/W3139673037","https://openalex.org/W6674576723","https://openalex.org/W6683401941"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W4241418540","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W1875930651","https://openalex.org/W1590965489"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"study":[4,119],"the":[5,63,91],"problem":[6],"of":[7,15,28,50,65,93],"supporting":[8],"similarity":[9,32,148],"queries":[10,149],"on":[11,53,81,126,150],"a":[12,18,26,48],"large":[13,58,151],"number":[14],"records":[16],"using":[17,66,120],"vector":[19],"space":[20],"model,":[21],"where":[22],"each":[23],"record":[24],"is":[25],"bag":[27],"tokens.":[29],"We":[30,46,88,114],"consider":[31],"functions":[33],"that":[34,140],"incorporate":[35],"non-negative":[36],"global":[37],"token":[38,44],"weights":[39],"as":[40,42,70],"well":[41],"record-specific":[43],"degrees.":[45],"develop":[47],"family":[49],"algorithms":[51,142],"based":[52,80,125],"an":[54,116],"inverted":[55],"index":[56],"for":[57,62],"data":[59,123,152],"sets,":[60],"especially":[61],"case":[64],"external":[67],"storage":[68,128],"such":[69],"hard":[71,132],"disks":[72],"or":[73],"flash":[74,135],"drives,":[75],"and":[76,96,134,143],"present":[77],"pruning":[78,102],"techniques":[79,144],"various":[82],"bounds":[83,108],"to":[84,99,109],"improve":[85],"their":[86],"performance.":[87],"formally":[89],"prove":[90],"correctness":[92],"these":[94,107,141],"techniques,":[95],"show":[97,139],"how":[98],"achieve":[100],"better":[101],"power":[103],"by":[104],"iteratively":[105],"tightening":[106],"exactly":[110],"filter":[111],"dissimilar":[112],"records.":[113],"conduct":[115],"extensive":[117],"experimental":[118],"real,":[121],"large-scale":[122],"sets":[124],"different":[127],"platforms,":[129],"including":[130],"memory,":[131],"disks,":[133],"drives.":[136],"The":[137],"results":[138],"can":[145],"efficiently":[146],"support":[147],"sets.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-05-07T00:00:00"}