{"id":"https://openalex.org/W2546996098","doi":"https://doi.org/10.1145/2957276.2957280","title":"Machine Learning and Grounded Theory Method","display_name":"Machine Learning and Grounded Theory Method","publication_year":2016,"publication_date":"2016-11-04","ids":{"openalex":"https://openalex.org/W2546996098","doi":"https://doi.org/10.1145/2957276.2957280","mag":"2546996098"},"language":"en","primary_location":{"id":"doi:10.1145/2957276.2957280","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2957276.2957280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Supporting Group Work","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/A5026028381","display_name":"Michael M\u00fcller","orcid":"https://orcid.org/0000-0001-7860-163X"},"institutions":[{"id":"https://openalex.org/I4210087032","display_name":"Cambridge Scientific (United States)","ror":"https://ror.org/001s4dh65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Muller","raw_affiliation_strings":["IBM Research, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210087032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659941","display_name":"Shion Guha","orcid":"https://orcid.org/0000-0003-0073-2378"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shion Guha","raw_affiliation_strings":["Marquette University, Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071477720","display_name":"Eric P. S. Baumer","orcid":"https://orcid.org/0000-0001-5338-4421"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric P.S. Baumer","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086934220","display_name":"David Mimno","orcid":"https://orcid.org/0000-0001-7510-9404"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Mimno","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013283889","display_name":"N. Sadat Shami","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Sadat Shami","raw_affiliation_strings":["IBM, Armonk, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, Armonk, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.5995,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.98254345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9557999968528748,"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/T10028","display_name":"Topic Modeling","score":0.9557999968528748,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9452999830245972,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grounded-theory","display_name":"Grounded theory","score":0.7950764894485474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831687092781067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771199464797974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4096395671367645},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3304173946380615},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.22334527969360352},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16794702410697937},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.11085069179534912}],"concepts":[{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.7950764894485474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831687092781067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771199464797974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4096395671367645},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3304173946380615},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.22334527969360352},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16794702410697937},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.11085069179534912},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2957276.2957280","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2957276.2957280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Supporting Group Work","raw_type":"proceedings-article"},{"id":"pmh:oai:epublications.marquette.edu:mscs_fac-1516","is_oa":false,"landing_page_url":"https://epublications.marquette.edu/mscs_fac/515","pdf_url":null,"source":{"id":"https://openalex.org/S4306401682","display_name":"e-Publications@Marquette (Marquette University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102461120","host_organization_name":"Marquette University","host_organization_lineage":["https://openalex.org/I102461120"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mathematics, Statistics and Computer Science Faculty Research and Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W122083563","https://openalex.org/W614149592","https://openalex.org/W1006997171","https://openalex.org/W1480414464","https://openalex.org/W1482707767","https://openalex.org/W1500693574","https://openalex.org/W1506806321","https://openalex.org/W1519304543","https://openalex.org/W1565746575","https://openalex.org/W1605824561","https://openalex.org/W1658908529","https://openalex.org/W1678889691","https://openalex.org/W1680392829","https://openalex.org/W1970381522","https://openalex.org/W1976193075","https://openalex.org/W1976415944","https://openalex.org/W1983903351","https://openalex.org/W1994322930","https://openalex.org/W1996235790","https://openalex.org/W2000117884","https://openalex.org/W2009086942","https://openalex.org/W2012835683","https://openalex.org/W2018817676","https://openalex.org/W2019096529","https://openalex.org/W2030788762","https://openalex.org/W2045582588","https://openalex.org/W2054194350","https://openalex.org/W2079756993","https://openalex.org/W2081249542","https://openalex.org/W2085081981","https://openalex.org/W2085606175","https://openalex.org/W2085988026","https://openalex.org/W2097480711","https://openalex.org/W2097737237","https://openalex.org/W2099322651","https://openalex.org/W2102125364","https://openalex.org/W2111143102","https://openalex.org/W2132585896","https://openalex.org/W2147154374","https://openalex.org/W2147362419","https://openalex.org/W2150098611","https://openalex.org/W2151955281","https://openalex.org/W2176822717","https://openalex.org/W2193378866","https://openalex.org/W2251617662","https://openalex.org/W2293583072","https://openalex.org/W2329395632","https://openalex.org/W2472556136","https://openalex.org/W2607618454","https://openalex.org/W2736235124","https://openalex.org/W2761867734","https://openalex.org/W2894244841","https://openalex.org/W2912362633","https://openalex.org/W2997546679","https://openalex.org/W3121175530","https://openalex.org/W4213154849","https://openalex.org/W4235278727","https://openalex.org/W4241532610","https://openalex.org/W4244181777","https://openalex.org/W4285719527","https://openalex.org/W6758978113"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Grounded":[0],"Theory":[1],"Method":[2],"(GTM)":[3],"and":[4,39,53],"Machine":[5],"Learning":[6],"(ML)":[7],"are":[8],"often":[9],"considered":[10],"to":[11,45,49],"be":[12],"quite":[13],"different.":[14],"In":[15],"this":[16],"note,":[17],"we":[18],"explore":[19],"unexpected":[20],"convergences":[21],"between":[22,36],"these":[23,37],"methods.":[24],"We":[25],"propose":[26],"new":[27],"research":[28],"directions":[29],"that":[30,40],"can":[31,41],"further":[32],"clarify":[33],"the":[34],"relationships":[35,44],"methods,":[38],"use":[42],"those":[43],"strengthen":[46],"our":[47,51],"ability":[48],"describe":[50],"phenomena":[52],"develop":[54],"stronger":[55],"hybrid":[56],"theories.":[57]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
