{"id":"https://openalex.org/W18956231","doi":"https://doi.org/10.1007/s10278-008-9163-7","title":"Non-hierarchic document clustering using a genetic algorithm.","display_name":"Non-hierarchic document clustering using a genetic algorithm.","publication_year":1995,"publication_date":"1995-01-01","ids":{"openalex":"https://openalex.org/W18956231","doi":"https://doi.org/10.1007/s10278-008-9163-7","mag":"18956231"},"language":"en","primary_location":{"id":"mag:18956231","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/journals/ires/ires1.html#JonesRSW95","pdf_url":null,"source":{"id":"https://openalex.org/S163673364","display_name":"Information Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4360969346","host_organization_name":"Swedish School of Library and Information Science","host_organization_lineage":["https://openalex.org/P4360969346"],"host_organization_lineage_names":["Swedish School of Library and Information Science"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Research","raw_type":null},"type":"article","indexed_in":[],"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/A5018481328","display_name":"Gareth J. F. Jones","orcid":"https://orcid.org/0000-0003-2923-8365"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gareth J. F. Jones","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2923-8365","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100809002","display_name":"Alexander M. Robertson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander M. Robertson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027819964","display_name":"Chawchat Santimetvirul","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chawchat Santimetvirul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102885255","display_name":"Peter Willett","orcid":"https://orcid.org/0000-0003-4591-7173"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Willett","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4591-7173","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018481328"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.00393366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"1","issue":"1","first_page":"73","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9570000171661377,"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":0.9570000171661377,"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":0.9156000018119812,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6691761016845703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506214141845703},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.5958361625671387},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45188555121421814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39566677808761597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37678638100624084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37217915058135986},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37140846252441406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2480722963809967}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6691761016845703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506214141845703},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.5958361625671387},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45188555121421814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39566677808761597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37678638100624084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37217915058135986},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37140846252441406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2480722963809967}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:18956231","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/journals/ires/ires1.html#JonesRSW95","pdf_url":null,"source":{"id":"https://openalex.org/S163673364","display_name":"Information Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4360969346","host_organization_name":"Swedish School of Library and Information Science","host_organization_lineage":["https://openalex.org/P4360969346"],"host_organization_lineage_names":["Swedish School of Library and Information Science"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2471309477"],"related_works":["https://openalex.org/W1992419399","https://openalex.org/W2073849744","https://openalex.org/W2052351313","https://openalex.org/W2155235751","https://openalex.org/W2612166593","https://openalex.org/W1651093245","https://openalex.org/W2087962968","https://openalex.org/W1585002319","https://openalex.org/W2127218421","https://openalex.org/W2909882294","https://openalex.org/W1956603229","https://openalex.org/W2913066018","https://openalex.org/W1996764654","https://openalex.org/W1978394996","https://openalex.org/W2045370125","https://openalex.org/W2497501519","https://openalex.org/W2118587067","https://openalex.org/W2551910412","https://openalex.org/W2070412788","https://openalex.org/W1570542661"],"abstract_inverted_index":{"Successfully":[0],"introducing":[1],"a":[2,6,11,50,63],"new":[3],"technology":[4],"in":[5,13,62],"health-care":[7,41],"setting":[8],"is":[9],"not":[10,22],"walk":[12],"the":[14,37,47,78,91,94,115,133,136,143,146,151,161,174,181,215],"park.":[15],"Many":[16],"barriers":[17,39],"need":[18],"to":[19,40,89,114,157,171],"be":[20],"overcome,":[21],"only":[23],"technical":[24],"and":[25,53,59,74,99,117,155,180,200],"financial":[26],"but":[27],"also":[28],"human":[29,38],"barriers.":[30],"In":[31,131],"this":[32],"study,":[33],"we":[34,87],"focus":[35],"on":[36],"information":[42],"systems'":[43],"implementation.":[44],"We":[45,211],"monitored":[46],"acceptance":[48],"of":[49,97,101,135,142,150,153,176,183,185,204,208,217],"Picture":[51],"Archiving":[52],"Communication":[54],"System":[55],"(PACS)":[56],"by":[57],"radiologists":[58,137,147,199],"hospital":[60,221],"physicians":[61,201],"large":[64],"Belgian":[65],"university":[66],"hospital.":[67],"Hereto,":[68],"questionnaires":[69],"were":[70,105,109,138,165],"taken":[71],"pre-implementation":[72],"(T1)":[73],"1":[75],"year":[76],"after":[77],"radiology":[79],"department":[80],"stopped":[81],"printing":[82],"film":[83],"(T2).":[84],"The":[85,190],"framework":[86],"used":[88],"perform":[90],"study":[92],"was":[93,121,196],"Unified":[95],"Theory":[96],"Acceptance":[98],"Use":[100],"Technology.":[102],"Main":[103],"findings":[104],"that":[106,118,193,214],"both":[107],"groups":[108],"positive":[110,124],"toward":[111],"PACS":[112,129,154,159,177,218],"prior":[113],"introduction":[116],"each":[119],"group":[120],"even":[122],"more":[123,149],"at":[125],"T2":[126],"with":[127],"extensive":[128],"experience.":[130],"general,":[132],"ratings":[134],"higher":[139],"than":[140],"those":[141],"physicians,":[144],"as":[145],"experienced":[148],"benefits":[152],"had":[156],"use":[158,172],"throughout":[160],"day.":[162],"Two":[163],"factors":[164],"salient":[166],"for":[167],"predicting":[168],"users'":[169],"intention":[170],"PACS:":[173],"usefulness":[175],"(performance":[178],"expectancy)":[179],"availability":[182],"support":[184],"any":[186],"kind":[187],"(facilitating":[188],"conditions).":[189],"results":[191],"show":[192],"our":[194,220],"approach":[195],"successful.":[197],"Both":[198],"give":[202],"evidence":[203],"an":[205],"excellent":[206],"level":[207],"user":[209],"acceptance.":[210],"can":[212],"conclude":[213],"implementation":[216],"into":[219],"has":[222],"succeeded.":[223]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2016-06-24T00:00:00"}