{"id":"https://openalex.org/W2055401550","doi":"https://doi.org/10.1145/1476936.1477033","title":"Man-machine interaction for the discovery of high-level patterns","display_name":"Man-machine interaction for the discovery of high-level patterns","publication_year":1970,"publication_date":"1970-01-01","ids":{"openalex":"https://openalex.org/W2055401550","doi":"https://doi.org/10.1145/1476936.1477033","mag":"2055401550"},"language":"en","primary_location":{"id":"doi:10.1145/1476936.1477033","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1476936.1477033","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1476936.1477033","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the May 5-7, 1970, spring joint computer conference on - AFIPS '70 (Spring)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1476936.1477033","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057909968","display_name":"David Foster","orcid":null},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David F. Foster","raw_affiliation_strings":["General Electric Company, Bethesda, Maryland","General Electric Company, Bethesda, Maryland#TAB#"],"affiliations":[{"raw_affiliation_string":"General Electric Company, Bethesda, Maryland","institution_ids":["https://openalex.org/I1332737386"]},{"raw_affiliation_string":"General Electric Company, Bethesda, Maryland#TAB#","institution_ids":["https://openalex.org/I1332737386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057909968"],"corresponding_institution_ids":["https://openalex.org/I1332737386"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0977237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":"649","last_page":"649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9312999844551086,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9312999844551086,"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/conceptualization","display_name":"Conceptualization","score":0.7978444695472717},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6902629137039185},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.6439874768257141},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5611598491668701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5113303065299988},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.47005096077919006},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4469956159591675},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.44569987058639526},{"id":"https://openalex.org/keywords/hidden-variable-theory","display_name":"Hidden variable theory","score":0.4438188672065735},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4373531639575958},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42652803659439087},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.392608106136322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.316143274307251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3079678416252136},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2987578511238098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26070350408554077},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07613271474838257}],"concepts":[{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.7978444695472717},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6902629137039185},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.6439874768257141},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5611598491668701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5113303065299988},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.47005096077919006},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4469956159591675},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.44569987058639526},{"id":"https://openalex.org/C137002209","wikidata":"https://www.wikidata.org/wiki/Q898521","display_name":"Hidden variable theory","level":3,"score":0.4438188672065735},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4373531639575958},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42652803659439087},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.392608106136322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.316143274307251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3079678416252136},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2987578511238098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26070350408554077},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07613271474838257},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"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:10.1145/1476936.1477033","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1476936.1477033","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1476936.1477033","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the May 5-7, 1970, spring joint computer conference on - AFIPS '70 (Spring)","raw_type":"proceedings-article"},{"id":"mag:3139756409","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201602001235227430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1145/1476936.1477033","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1476936.1477033","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1476936.1477033","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the May 5-7, 1970, spring joint computer conference on - AFIPS '70 (Spring)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2055401550.pdf","grobid_xml":"https://content.openalex.org/works/W2055401550.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W1979384486","https://openalex.org/W2057307977","https://openalex.org/W2529690275"],"related_works":["https://openalex.org/W4362575170","https://openalex.org/W1532772865","https://openalex.org/W2531253623","https://openalex.org/W2984230149","https://openalex.org/W2112095637","https://openalex.org/W2237121679","https://openalex.org/W4390616414","https://openalex.org/W2006867289","https://openalex.org/W3212890177","https://openalex.org/W1188194610"],"abstract_inverted_index":{"Social":[0],"scientists":[1],"are":[2,90,139],"largely":[3],"concerned":[4],"with":[5],"the":[6,21,24,37,52,61,71,83,92,97,108,117,123],"discovery":[7],"of":[8,27,39,57,64,73,91,119,125,132,145],"patterns":[9],"and":[10,33,49,76,104],"relationships":[11],"in":[12,70,78],"multivariate":[13,28],"data.":[14],"The":[15,55],"techniques":[16,41],"used":[17],"have":[18],"been,":[19],"for":[20,107,122,141],"most":[22,93],"part,":[23],"standard":[25],"tools":[26],"analysis---correlation,":[29],"regression,":[30],"factor":[31],"analysis,":[32],"so":[34],"forth.":[35],"Unfortunately,":[36],"nature":[38,124],"these":[40],"has":[42],"tended":[43],"to":[44,113,128],"impose":[45],"implicit":[46],"theoretical":[47,94],"assumptions":[48],"constraints":[50],"on":[51,116],"social":[53,98],"sciences.":[54],"conceptualization":[56],"a":[58,130],"variable":[59],"as":[60],"weighted":[62],"sum":[63],"other":[65,120,134],"variables":[66,88,112],"is":[67,81,101],"methodologically":[68],"unhealthy":[69],"study":[72],"human":[74],"beings":[75],"societies,":[77],"which":[79,89],"it":[80,100],"precisely":[82],"complex":[84],"interaction":[85,146],"effects":[86],"among":[87],"interest.":[95],"In":[96],"sciences":[99],"especially":[102,105],"prevalent,":[103],"significant,":[106],"relationship":[109],"between":[110],"two":[111],"be":[114,129],"dependent":[115],"values":[118],"variables---and":[121],"this":[126],"dependence":[127],"function":[131],"still":[133],"variables.":[135],"Traditional":[136],"statistical":[137],"methods":[138],"ill-suited":[140],"uncovering":[142],"such":[143],"hierarchies":[144],"effects.":[147]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
