{"id":"https://openalex.org/W2037946039","doi":"https://doi.org/10.1145/2661829.2661931","title":"Analytical Performance Modeling for Top-K Query Processing","display_name":"Analytical Performance Modeling for Top-K Query Processing","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2037946039","doi":"https://doi.org/10.1145/2661829.2661931","mag":"2037946039"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2661931","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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/A5100620225","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0001-7575-5756"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hao Wu","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101716412","display_name":"Hui Fang","orcid":"https://orcid.org/0009-0003-1904-787X"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Fang","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100620225"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":0.8734,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73993056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1619","last_page":"1628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9983000159263611,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8768223524093628},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7938473224639893},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.7727569937705994},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.7394468188285828},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.6926306486129761},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.6261299848556519},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.6218840479850769},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5454968810081482},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.508665144443512},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.46597811579704285},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.4389798939228058},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4173225164413452},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.41037917137145996},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39420029520988464},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2604098618030548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8768223524093628},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7938473224639893},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.7727569937705994},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.7394468188285828},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.6926306486129761},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.6261299848556519},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.6218840479850769},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5454968810081482},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.508665144443512},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.46597811579704285},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.4389798939228058},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4173225164413452},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.41037917137145996},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39420029520988464},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2604098618030548},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661829.2661931","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1250514940","display_name":null,"funder_award_id":"IIS-1423002","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W299870200","https://openalex.org/W1482214997","https://openalex.org/W1498324828","https://openalex.org/W1970885105","https://openalex.org/W1980344365","https://openalex.org/W1982387198","https://openalex.org/W1994915827","https://openalex.org/W2025690557","https://openalex.org/W2028083097","https://openalex.org/W2032866865","https://openalex.org/W2040852594","https://openalex.org/W2048955106","https://openalex.org/W2053448995","https://openalex.org/W2065472179","https://openalex.org/W2072156548","https://openalex.org/W2073965851","https://openalex.org/W2077789969","https://openalex.org/W2091379987","https://openalex.org/W2096623622","https://openalex.org/W2108079923","https://openalex.org/W2119360906","https://openalex.org/W2123006679","https://openalex.org/W2137151464","https://openalex.org/W2139230733","https://openalex.org/W2141257014","https://openalex.org/W2147028271","https://openalex.org/W2150414292","https://openalex.org/W2154610494","https://openalex.org/W2168006621","https://openalex.org/W6603899496","https://openalex.org/W6605428294","https://openalex.org/W6628905179"],"related_works":["https://openalex.org/W2955368753","https://openalex.org/W2554271401","https://openalex.org/W2150741898","https://openalex.org/W2128834514","https://openalex.org/W2362460270","https://openalex.org/W2034583622","https://openalex.org/W4379390531","https://openalex.org/W2026739340","https://openalex.org/W2186703450","https://openalex.org/W906795786"],"abstract_inverted_index":{"Top-K":[0],"query":[1,16,32,42,53,88],"processing":[2,17,54],"is":[3,28],"one":[4],"of":[5,60,74],"the":[6,41,47,52,58,71,84,87],"most":[7],"important":[8],"problems":[9],"in":[10,86],"large-scale":[11],"Information":[12],"Retrieval":[13],"systems.":[14],"Since":[15],"time":[18,44,55],"varies":[19],"for":[20,30],"different":[21],"queries,":[22],"an":[23],"accurate":[24],"run-time":[25],"performance":[26],"prediction":[27],"critical":[29],"online":[31],"scheduling":[33],"and":[34,45,70],"load":[35],"balancing,":[36],"which":[37],"could":[38],"eventually":[39],"reduce":[40],"waiting":[43],"improve":[46],"throughput.":[48],"Previous":[49],"studies":[50],"estimated":[51],"based":[56],"on":[57],"combination":[59,73],"term-level":[61],"features.":[62],"Unfortunately,":[63],"these":[64,75],"features":[65,76],"were":[66],"often":[67],"selected":[68],"arbitrarily,":[69],"linear":[72],"might":[77],"not":[78],"be":[79],"able":[80],"to":[81],"accurately":[82],"capture":[83],"complexity":[85],"processing.":[89]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}