{"id":"https://openalex.org/W2009997344","doi":"https://doi.org/10.1145/1133890.1133893","title":"A framework to support multiple query optimization for complex mining tasks","display_name":"A framework to support multiple query optimization for complex mining tasks","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2009997344","doi":"https://doi.org/10.1145/1133890.1133893","mag":"2009997344"},"language":"en","primary_location":{"id":"doi:10.1145/1133890.1133893","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1133890.1133893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international workshop on Multimedia data mining mining integrated media and complex data - MDM '05","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/A5103270436","display_name":"Ruoming Jin","orcid":"https://orcid.org/0000-0003-1895-4243"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruoming Jin","raw_affiliation_strings":["Ohio State University, Columbus, OH","\u2003Ohio State University, Columbus, OH"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"\u2003Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103257165","display_name":"K. P. Sinha","orcid":"https://orcid.org/0000-0002-0025-5754"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Sinha","raw_affiliation_strings":["Ohio State University, Columbus, OH","\u2003Ohio State University, Columbus, OH"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"\u2003Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025342178","display_name":"Gagan Agrawal","orcid":"https://orcid.org/0000-0002-2923-5327"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gagan Agrawal","raw_affiliation_strings":["Ohio State University, Columbus, OH","\u2003Ohio State University, Columbus, OH"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"\u2003Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103270436"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":1.62153267,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88404098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994000196456909,"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/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/T11106","display_name":"Data Management and Algorithms","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8169984817504883},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7924439907073975},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.5791175365447998},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.49692991375923157},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4795093834400177},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.476875364780426},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4117242395877838},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3761642575263977},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.18600046634674072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8169984817504883},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7924439907073975},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.5791175365447998},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.49692991375923157},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4795093834400177},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.476875364780426},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4117242395877838},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3761642575263977},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.18600046634674072}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1133890.1133893","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1133890.1133893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international workshop on Multimedia data mining mining integrated media and complex data - MDM '05","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W107887801","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1538285186","https://openalex.org/W1549565124","https://openalex.org/W1854918676","https://openalex.org/W1964345410","https://openalex.org/W1965731052","https://openalex.org/W1972873066","https://openalex.org/W1985104873","https://openalex.org/W2014145339","https://openalex.org/W2021321535","https://openalex.org/W2027770225","https://openalex.org/W2030766291","https://openalex.org/W2038812321","https://openalex.org/W2058978608","https://openalex.org/W2069811933","https://openalex.org/W2077041275","https://openalex.org/W2085638007","https://openalex.org/W2097167306","https://openalex.org/W2098416578","https://openalex.org/W2100695307","https://openalex.org/W2109597229","https://openalex.org/W2125714474","https://openalex.org/W2126256482","https://openalex.org/W2130426318","https://openalex.org/W2139049212","https://openalex.org/W2142014442","https://openalex.org/W2148693963","https://openalex.org/W2150974577","https://openalex.org/W2152191782","https://openalex.org/W2158454296","https://openalex.org/W2162188273","https://openalex.org/W2163212339","https://openalex.org/W2167955963"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W3125756434","https://openalex.org/W2572349046","https://openalex.org/W2392799717","https://openalex.org/W2146885082","https://openalex.org/W2026738364","https://openalex.org/W1981131819","https://openalex.org/W2017989738","https://openalex.org/W2017328855","https://openalex.org/W2186703450"],"abstract_inverted_index":{"With":[0],"an":[1],"increasing":[2],"use":[3,137],"of":[4,33,47,64,87,115,138,174,179],"data":[5],"mining":[6,50,88,93],"tools":[7],"and":[8,16,25,52,67,104,153,160],"techniques,":[9],"we":[10],"envision":[11],"that":[12,167],"a":[13,45,62,75,101,116,144,172,177],"Knowledge":[14],"Discovery":[15],"Data":[17],"Mining":[18],"System":[19],"(KDDMS)":[20],"will":[21],"have":[22,151],"to":[23,78,146,176],"support":[24,188],"optimize":[26,79,148,191],"for":[27,80,108,192],"the":[28,81,85,113,122,136,139,183],"following":[29],"scenarios:":[30],"1)":[31],"Sequence":[32],"Queries:":[34,56],"A":[35],"user":[36],"may":[37,59,68],"analyze":[38],"one":[39,95],"or":[40,96,190],"more":[41],"datasets":[42,65],"by":[43],"issuing":[44],"sequence":[46],"related":[48,70],"complex":[49,71],"queries,":[51],"2)":[53],"Multiple":[54],"Simultaneous":[55],"Several":[57],"users":[58],"be":[60],"analyzing":[61],"set":[63],"concurrently,":[66],"issue":[69],"queries.This":[72],"paper":[73],"presents":[74],"systematic":[76],"mechanism":[77],"above":[82],"cases,":[83],"targetting":[84],"class":[86],"queries":[89,127],"involving":[90],"frequent":[91],"pattern":[92],"on":[94,128],"multiple":[97,129,149,193],"datasets.":[98,130,162],"We":[99,111,131],"present":[100,132],"system":[102,156],"architecture":[103],"propose":[105],"new":[106],"algorithms":[107,133],"this":[109],"purpose.":[110],"show":[112,166],"design":[114],"knowledgeable":[117],"cache":[118,145],"which":[119,134,185],"can":[120,170],"store":[121],"past":[123],"query":[124],"results":[125,140,165],"from":[126],"enable":[135],"stored":[141],"in":[142],"such":[143],"further":[147],"queries.We":[150],"implemented":[152],"evaluated":[154],"our":[155,168],"with":[157,182],"both":[158],"real":[159],"synthetic":[161],"Our":[163],"experimental":[164],"techniques":[169],"achieve":[171],"speedup":[173],"up":[175],"factor":[178],"9,":[180],"compared":[181],"systems":[184],"do":[186],"not":[187],"caching":[189],"queries.":[194]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
