{"id":"https://openalex.org/W1992665668","doi":"https://doi.org/10.1002/(sici)1097-4571(199806)49:8<693::aid-asi4>3.0.co;2-o","title":"A machine learning approach to inductive query by examples: An experiment using relevance feedback, ID3, genetic algorithms, and simulated annealing","display_name":"A machine learning approach to inductive query by examples: An experiment using relevance feedback, ID3, genetic algorithms, and simulated annealing","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W1992665668","doi":"https://doi.org/10.1002/(sici)1097-4571(199806)49:8<693::aid-asi4>3.0.co;2-o","mag":"1992665668"},"language":"en","primary_location":{"id":"doi:10.1002/(sici)1097-4571(199806)49:8<693::aid-asi4>3.0.co;2-o","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1097-4571(199806)49:8<693::aid-asi4>3.0.co;2-o","pdf_url":null,"source":{"id":"https://openalex.org/S4210220780","display_name":"Journal of the American Society for Information Science","issn_l":"0002-8231","issn":["0002-8231","1097-4571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Society for Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.arizona.edu/bitstream/10150/106135/1/chen14.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109924510","display_name":"Hsinchun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hsinchun Chen","raw_affiliation_strings":["MIS Department, College of Business and Public Administration, University of Arizona, Tucson, AZ 85721","University of Arizona , Tucson#TAB#"],"affiliations":[{"raw_affiliation_string":"MIS Department, College of Business and Public Administration, University of Arizona, Tucson, AZ 85721","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona , Tucson#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088018658","display_name":"Ganesan Shankaranarayanan","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ganesan Shankaranarayanan","raw_affiliation_strings":["MIS Department, College of Business and Public Administration, University of Arizona, Tucson, AZ 85721","University of Arizona , Tucson#TAB#"],"affiliations":[{"raw_affiliation_string":"MIS Department, College of Business and Public Administration, University of Arizona, Tucson, AZ 85721","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona , Tucson#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086105686","display_name":"Linlin She","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Linlin She","raw_affiliation_strings":["MIS Department, College of Business and Public Administration, University of Arizona, Tucson, AZ 85721","University of Arizona , Tucson#TAB#"],"affiliations":[{"raw_affiliation_string":"MIS Department, College of Business and Public Administration, University of Arizona, Tucson, AZ 85721","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona , Tucson#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090733623","display_name":"Anand Iyer","orcid":"https://orcid.org/0009-0009-3700-2994"},"institutions":[{"id":"https://openalex.org/I4210142445","display_name":"SA Technologies (United States)","ror":"https://ror.org/046qmva50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142445"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anand Iyer","raw_affiliation_strings":["I2 Technologies, Inc., 909 E. Las Colinas Blvd., Irving, TX 75039","I2 Technologies#TAB#"],"affiliations":[{"raw_affiliation_string":"I2 Technologies, Inc., 909 E. Las Colinas Blvd., Irving, TX 75039","institution_ids":["https://openalex.org/I4210142445"]},{"raw_affiliation_string":"I2 Technologies#TAB#","institution_ids":["https://openalex.org/I4210142445"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086105686","https://openalex.org/A5088018658","https://openalex.org/A5090733623","https://openalex.org/A5109924510"],"corresponding_institution_ids":["https://openalex.org/I138006243","https://openalex.org/I4210142445"],"apc_list":null,"apc_paid":null,"fwci":4.2821,"has_fulltext":true,"cited_by_count":92,"citation_normalized_percentile":{"value":0.94271901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"49","issue":"8","first_page":"693","last_page":"705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9902999997138977,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8227024674415588},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.820351243019104},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7353127002716064},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5766055583953857},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5370399355888367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47190266847610474},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4499111473560333},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4204729497432709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40143871307373047},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3391033411026001},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.07600688934326172}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8227024674415588},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.820351243019104},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7353127002716064},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5766055583953857},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5370399355888367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47190266847610474},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4499111473560333},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4204729497432709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40143871307373047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3391033411026001},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.07600688934326172},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/(sici)1097-4571(199806)49:8<693::aid-asi4>3.0.co;2-o","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1097-4571(199806)49:8<693::aid-asi4>3.0.co;2-o","pdf_url":null,"source":{"id":"https://openalex.org/S4210220780","display_name":"Journal of the American Society for Information Science","issn_l":"0002-8231","issn":["0002-8231","1097-4571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Society for Information Science","raw_type":"journal-article"},{"id":"pmh:oai:repository.arizona.edu:10150/106135","is_oa":true,"landing_page_url":"http://hdl.handle.net/10150/106135","pdf_url":"https://repository.arizona.edu/bitstream/10150/106135/1/chen14.pdf","source":{"id":"https://openalex.org/S4306400271","display_name":"UA Campus Repository (The University of Arizona)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138006243","host_organization_name":"University of Arizona","host_organization_lineage":["https://openalex.org/I138006243"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article (Paginated)"}],"best_oa_location":{"id":"pmh:oai:repository.arizona.edu:10150/106135","is_oa":true,"landing_page_url":"http://hdl.handle.net/10150/106135","pdf_url":"https://repository.arizona.edu/bitstream/10150/106135/1/chen14.pdf","source":{"id":"https://openalex.org/S4306400271","display_name":"UA Campus Repository (The University of Arizona)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138006243","host_organization_name":"University of Arizona","host_organization_lineage":["https://openalex.org/I138006243"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article (Paginated)"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1992665668.pdf","grobid_xml":"https://content.openalex.org/works/W1992665668.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W228272989","https://openalex.org/W321648571","https://openalex.org/W611848211","https://openalex.org/W1520963883","https://openalex.org/W1542991075","https://openalex.org/W1543425407","https://openalex.org/W1557757161","https://openalex.org/W1570542661","https://openalex.org/W1576818901","https://openalex.org/W1704669313","https://openalex.org/W1970406594","https://openalex.org/W1997841190","https://openalex.org/W2009287352","https://openalex.org/W2010652031","https://openalex.org/W2015624925","https://openalex.org/W2018679652","https://openalex.org/W2026319679","https://openalex.org/W2027634071","https://openalex.org/W2038925774","https://openalex.org/W2059277091","https://openalex.org/W2060704583","https://openalex.org/W2060842881","https://openalex.org/W2071550620","https://openalex.org/W2077463718","https://openalex.org/W2082729696","https://openalex.org/W2083605078","https://openalex.org/W2086513752","https://openalex.org/W2104083439","https://openalex.org/W2135479218","https://openalex.org/W2135682088","https://openalex.org/W2142183404","https://openalex.org/W2142464274","https://openalex.org/W2154147908","https://openalex.org/W2159047538","https://openalex.org/W2163512962","https://openalex.org/W2164547069","https://openalex.org/W2171776966","https://openalex.org/W2212118560","https://openalex.org/W2322240213","https://openalex.org/W2335322260","https://openalex.org/W2766736793","https://openalex.org/W2913066018","https://openalex.org/W2914866334","https://openalex.org/W2939083804","https://openalex.org/W3023540311","https://openalex.org/W3085162807","https://openalex.org/W3185331895","https://openalex.org/W3207342693","https://openalex.org/W4244995761","https://openalex.org/W4300402905","https://openalex.org/W4301074325","https://openalex.org/W6608842604","https://openalex.org/W6632456608","https://openalex.org/W6634059332","https://openalex.org/W6634279960","https://openalex.org/W6636850861","https://openalex.org/W6642674909","https://openalex.org/W6652564119","https://openalex.org/W6656955203","https://openalex.org/W6679788361","https://openalex.org/W6683229354","https://openalex.org/W6684151790","https://openalex.org/W6684281452","https://openalex.org/W6688222720","https://openalex.org/W6759007826","https://openalex.org/W6998549468","https://openalex.org/W7047739366"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W2078482661","https://openalex.org/W1968222678","https://openalex.org/W2460037195","https://openalex.org/W2134013435"],"abstract_inverted_index":{"Information":[0],"retrieval":[1,37,82,105],"using":[2,146],"probabilistic":[3],"techniques":[4,28,52,99,161,176,227],"has":[5],"attracted":[6],"significant":[7],"attention":[8],"on":[9],"the":[10,20,25,78,113,138,155,165,168,231],"part":[11],"of":[12,84,96,141,157,167],"researchers":[13,44,75],"in":[14,67,103,137,162,207,215],"information":[15,36,42,79,86,104,142,243],"and":[16,38,58,81,100,127,135,196,219,245,255],"computer":[17],"science":[18,43],"over":[19],"past":[21],"few":[22],"decades.":[23],"In":[24,88,107],"1980s,":[26],"knowledge-based":[27],"also":[29,246],"made":[30],"an":[31,94],"impressive":[32],"contribution":[33],"to":[34,47,76,109,153,179,182,190,202,211,233],"\u201cintelligent\u201d":[35],"indexing.":[39],"More":[40],"recently,":[41],"have":[45,70],"turned":[46],"other":[48],"newer":[49,62,98],"inductive":[50,159,224],"learning":[51,175,226],"including":[53],"symbolic":[54,121],"learning,":[55],"genetic":[56,125],"algorithms,":[57,126,206],"simulated":[59,128],"annealing.":[60,129],"These":[61],"techniques,":[63,114],"which":[64,187,198],"are":[65,188],"grounded":[66],"diverse":[68],"paradigms,":[69],"provided":[71],"great":[72],"opportunities":[73],"for":[74,230,249,251],"enhance":[77],"processing":[80],"capabilities":[83],"current":[85],"systems.":[87],"this":[89],"article,":[90],"we":[91,115],"first":[92],"provide":[93],"overview":[95],"these":[97,158,223],"their":[101,132],"use":[102],"research.":[106],"order":[108],"familiarize":[110],"readers":[111],"with":[112,164],"present":[116],"three":[117],"promising":[118],"methods:":[119],"The":[120,173],"ID3":[122],"algorithm,":[123],"evolution-based":[124],"We":[130,221],"discuss":[131],"knowledge":[133],"representations":[134],"algorithms":[136],"unique":[139],"context":[140],"retrieval.":[143],"An":[144],"experiment":[145],"a":[147],"8000-record":[148],"COMPEN":[149],"database":[150,252],"was":[151],"performed":[152],"examine":[154],"performances":[156],"query-by-example":[160],"comparison":[163],"performance":[166],"conventional":[169],"relevance":[170,213],"feedback":[171,214],"method.":[172],"machine":[174,225],"were":[177,209],"shown":[178],"be":[180],"able":[181],"help":[183],"identify":[184,240],"new":[185],"documents":[186,191,197,237],"similar":[189,200],"initially":[192],"suggested":[193],"by":[194],"users,":[195],"contain":[199],"concepts":[201],"each":[203],"other.":[204],"Genetic":[205],"particular,":[208],"found":[210],"out-perform":[212],"both":[216],"document":[217],"recall":[218],"precision.":[220],"believe":[222],"hold":[228],"promise":[229],"ability":[232],"analyze":[234],"users'":[235,241],"preferred":[236],"(or":[238],"records),":[239],"underlying":[242],"needs,":[244],"suggest":[247],"alternatives":[248],"search":[250],"management":[253],"systems":[254],"Internet":[256],"applications.":[257],"\u00a9":[258],"1998":[259],"John":[260],"Wiley":[261],"&":[262],"Sons,":[263],"Inc.":[264]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}