{"id":"https://openalex.org/W2160522610","doi":"https://doi.org/10.1109/ssdm.2003.1214972","title":"A strategy selection framework for adaptive prefetching in data visualization","display_name":"A strategy selection framework for adaptive prefetching in data visualization","publication_year":2004,"publication_date":"2004-01-23","ids":{"openalex":"https://openalex.org/W2160522610","doi":"https://doi.org/10.1109/ssdm.2003.1214972","mag":"2160522610"},"language":"en","primary_location":{"id":"doi:10.1109/ssdm.2003.1214972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssdm.2003.1214972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"15th International Conference on Scientific and Statistical Database Management, 2003.","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/A5034237480","display_name":"Punit R. Doshi","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"P.R. Doshi","raw_affiliation_strings":["Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","Worcester Polytechnic Institute, Worcester, MA, US"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","institution_ids":["https://openalex.org/I107077323"]},{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, US","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097260468","display_name":"E Geraldine","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geraldine E","raw_affiliation_strings":["Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016509863","display_name":"G.E. Rosario","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G.E. Rosario","raw_affiliation_strings":["Computer Science Department, Worcester Polytechnic Institute, Worcester, MA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008269094","display_name":"Elke A. Rundensteiner","orcid":"https://orcid.org/0000-0001-5375-9254"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E.A. Rundensteiner","raw_affiliation_strings":["Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","Worcester Polytechnic Institute, Worcester, MA, US"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Worcester Polytechnic Institute, Worcester, MA","institution_ids":["https://openalex.org/I107077323"]},{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, US","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056560522","display_name":"Melissa Ward","orcid":"https://orcid.org/0000-0002-1054-6475"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.A. Ward","raw_affiliation_strings":["Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034237480"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":0.8276,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76723683,"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":"107","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9950000047683716,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8987183570861816},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8525593280792236},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6394256353378296},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6358053684234619},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5722251534461975},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4967535138130188},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4411364197731018},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28132927417755127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22424185276031494},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11383858323097229},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09930109977722168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8987183570861816},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8525593280792236},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6394256353378296},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6358053684234619},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5722251534461975},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4967535138130188},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4411364197731018},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28132927417755127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22424185276031494},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11383858323097229},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09930109977722168},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssdm.2003.1214972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssdm.2003.1214972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"15th International Conference on Scientific and Statistical Database Management, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.106.6245","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.6245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://davis.wpi.edu/~xmdv/docs/ssdbm03_prefetch.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W45001393","https://openalex.org/W61807067","https://openalex.org/W205529591","https://openalex.org/W1488816737","https://openalex.org/W1492131973","https://openalex.org/W1527532036","https://openalex.org/W1563590781","https://openalex.org/W1578001114","https://openalex.org/W1645837590","https://openalex.org/W1704669313","https://openalex.org/W1814907964","https://openalex.org/W1979356488","https://openalex.org/W2057074087","https://openalex.org/W2097571405","https://openalex.org/W2104983532","https://openalex.org/W2111087562","https://openalex.org/W2115084472","https://openalex.org/W2122441390","https://openalex.org/W2135812489","https://openalex.org/W2147139455","https://openalex.org/W2155675108","https://openalex.org/W2158454296","https://openalex.org/W2158685692","https://openalex.org/W2162773908","https://openalex.org/W2995575468","https://openalex.org/W6601808287","https://openalex.org/W6602518401","https://openalex.org/W6633828322","https://openalex.org/W6636984794","https://openalex.org/W6638649701","https://openalex.org/W6680386484"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"Accessing":[0],"data":[1,113],"stored":[2],"in":[3,108],"persistent":[4],"memory":[5],"represents":[6],"a":[7,32,54,72,83,124],"bottleneck":[8],"for":[9,128],"current":[10],"visual":[11,112],"exploration":[12,50],"applications.":[13],"Semantic":[14],"caching":[15],"of":[16,28,111,154],"frequent":[17],"queries":[18],"at":[19],"the":[20,61,78,102,109,150,160],"client-side":[21],"along":[22],"with":[23],"prefetching":[24,33,39,74,86,107,155],"can":[25],"improve":[26],"performance":[27,146],"such":[29],"systems.":[30],"However,":[31],"setup":[34],"that":[35,141,157],"only":[36],"uses":[37],"one":[38,96],"strategy":[40],"may":[41,57],"be":[42,58],"insufficient":[43],"because":[44],"(1)":[45],"different":[46,49],"users":[47],"have":[48,117],"patterns,":[51],"and":[52,94,131],"(2)":[53],"user's":[55,161],"pattern":[56],"changing":[59,162],"within":[60,95,122],"same":[62],"session.":[63,98],"To":[64],"solve":[65],"this,":[66],"existing":[67],"research":[68],"focuses":[69],"on":[70,77],"refining":[71],"single":[73],"strategy.":[75],"We,":[76],"other":[79],"hand,":[80],"now":[81],"propose":[82],"framework":[84],"wherein":[85],"strategies":[87,156],"are":[88],"adaptively":[89],"selected":[90],"over":[91],"time":[92],"across":[93],"user":[97,136],"This":[99],"work":[100],"is":[101],"first":[103],"to":[104,159],"study":[105],"adaptive":[106],"context":[110],"exploration.":[114],"Specifically,":[115],"we":[116],"implemented":[118],"our":[119,142],"proposed":[120],"approach":[121,143],"XmdvTool,":[123],"freeware":[125],"visualization":[126],"system":[127,145],"multivariate":[129],"data,":[130],"evaluated":[132],"it":[133],"using":[134],"real":[135],"traces.":[137],"Our":[138],"results":[139],"confirm":[140],"improves":[144],"by":[147],"dynamically":[148],"selecting":[149],"most":[151],"appropriate":[152],"combination":[153],"adapts":[158],"patterns.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}