{"id":"https://openalex.org/W2615930912","doi":"https://doi.org/10.1109/cec.2017.7969447","title":"Document clustering with evolved search queries","display_name":"Document clustering with evolved search queries","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2615930912","doi":"https://doi.org/10.1109/cec.2017.7969447","mag":"2615930912"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","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/A5042068870","display_name":"Laurence Hirsch","orcid":"https://orcid.org/0000-0002-3589-9816"},"institutions":[{"id":"https://openalex.org/I71422933","display_name":"Sheffield Hallam University","ror":"https://ror.org/019wt1929","country_code":"GB","type":"education","lineage":["https://openalex.org/I71422933"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Laurence Hirsch","raw_affiliation_strings":["Department of Computing, Sheffield Hallam University, Sheffield, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Sheffield Hallam University, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I71422933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073115503","display_name":"Alessandro Di Nuovo","orcid":"https://orcid.org/0000-0003-2677-2650"},"institutions":[{"id":"https://openalex.org/I71422933","display_name":"Sheffield Hallam University","ror":"https://ror.org/019wt1929","country_code":"GB","type":"education","lineage":["https://openalex.org/I71422933"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alessandro Di Nuovo","raw_affiliation_strings":["Department of Computing, Sheffield Hallam University, Sheffield, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Sheffield Hallam University, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I71422933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042068870"],"corresponding_institution_ids":["https://openalex.org/I71422933"],"apc_list":null,"apc_paid":null,"fwci":1.6597,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87868685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1239","last_page":"1246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9972000122070312,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9972000122070312,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9965000152587891,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.991100013256073,"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":0.7880449295043945},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7661238312721252},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7033354043960571},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.7007630467414856},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.627588152885437},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6104997396469116},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.5171625018119812},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5073422789573669},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.46184414625167847},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4554840922355652},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.3434690535068512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18298134207725525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10820251703262329}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880449295043945},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7661238312721252},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7033354043960571},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7007630467414856},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.627588152885437},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6104997396469116},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.5171625018119812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5073422789573669},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.46184414625167847},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4554840922355652},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.3434690535068512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18298134207725525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10820251703262329},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2017.7969447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:shura.shu.ac.uk:15409","is_oa":false,"landing_page_url":"http://orcid.org/0000-0002-3589-9816>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401600","display_name":"SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71422933","host_organization_name":"Sheffield Hallam University","host_organization_lineage":["https://openalex.org/I71422933"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W40976687","https://openalex.org/W1493526108","https://openalex.org/W1496856754","https://openalex.org/W1532325895","https://openalex.org/W1831950995","https://openalex.org/W1978394996","https://openalex.org/W1994219917","https://openalex.org/W2000117996","https://openalex.org/W2027348127","https://openalex.org/W2029517229","https://openalex.org/W2058990119","https://openalex.org/W2081980673","https://openalex.org/W2092134162","https://openalex.org/W2106604966","https://openalex.org/W2112242578","https://openalex.org/W2120529703","https://openalex.org/W2149573555","https://openalex.org/W2151098288","https://openalex.org/W2316135739","https://openalex.org/W2316340232","https://openalex.org/W2540313347","https://openalex.org/W2904250082","https://openalex.org/W3099207888","https://openalex.org/W4213009331","https://openalex.org/W4250503569","https://openalex.org/W6699304230"],"related_works":["https://openalex.org/W2367099342","https://openalex.org/W2533706070","https://openalex.org/W2184474188","https://openalex.org/W3094024929","https://openalex.org/W2066869521","https://openalex.org/W2105258824","https://openalex.org/W3210975432","https://openalex.org/W2547614144","https://openalex.org/W2136530748","https://openalex.org/W2321599862"],"abstract_inverted_index":{"Search":[0],"queries":[1,64,149,181],"define":[2],"a":[3,9,23,44,58,81,140,155],"set":[4,59],"of":[5,36,60,68,95,102,130,142,158],"documents":[6,18,78],"located":[7],"in":[8,32,84,92,111,133,144],"collection":[10],"and":[11,105,153,182,191],"can":[12,56,122,176],"be":[13,123,177],"used":[14,178,206],"to":[15,26,29,99,179],"rank":[16],"the":[17,30,33,66,77,85,96,100,103,118,127,134,146,159,174,204],"by":[19,76,80,125],"assigning":[20],"each":[21,106,131],"document":[22,70,88,107,132],"score":[24,129],"according":[25],"their":[27],"closeness":[28],"query":[31,83,194],"multidimensional":[34],"space":[35],"weighted":[37],"terms.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"describe":[43,172],"system":[45,138],"whereby":[46],"an":[47,163],"island":[48],"model":[49],"genetic":[50],"algorithm":[51],"(GA)":[52],"creates":[53],"individuals":[54],"which":[55],"generate":[57],"Apache":[61],"Lucene":[62],"search":[63,148],"for":[65,185],"purpose":[67],"text":[69],"clustering.":[71],"A":[72],"cluster":[73,115,165],"is":[74,90,109,168],"specified":[75],"returned":[79],"single":[82],"set.":[86],"Each":[87],"that":[89,108,162],"included":[91,110],"only":[93],"one":[94,114],"clusters":[97,201],"adds":[98],"fitness":[101,135],"individual":[104],"more":[112],"than":[113],"will":[116],"reduce":[117],"fitness.":[119],"The":[120,137],"method":[121],"refined":[124],"using":[126,203],"ranking":[128],"test.":[136],"has":[139],"number":[141],"advantages;":[143],"particular,":[145],"final":[147],"are":[150,197],"easily":[151],"understood":[152],"offer":[154],"simple":[156],"explanation":[157],"clusters,":[160],"meaning":[161],"extra":[164],"labelling":[166],"stage":[167],"not":[169],"required.":[170],"We":[171],"how":[173],"GA":[175],"build":[180],"show":[183],"results":[184],"clustering":[186],"on":[187],"various":[188],"data":[189],"sets":[190],"with":[192,200],"different":[193],"sizes.":[195],"Results":[196],"also":[198],"compared":[199],"built":[202],"widely":[205],"k-means":[207],"algorithm.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}