{"id":"https://openalex.org/W2397326181","doi":"https://doi.org/10.3233/978-1-61499-419-0-519","title":"Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules","display_name":"Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2397326181","doi":"https://doi.org/10.3233/978-1-61499-419-0-519","mag":"2397326181"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-419-0-519","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-519","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-419-0-519","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100448610","display_name":"Rui Li","orcid":"https://orcid.org/0000-0003-1770-906X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Li Rui","raw_affiliation_strings":["Informatik/I12, Technische Universit\u00e4t M\u00fcnchen, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Informatik/I12, Technische Universit\u00e4t M\u00fcnchen, Germany#TAB#","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035434415","display_name":"Zahra Ahmadi","orcid":"https://orcid.org/0000-0003-1110-4756"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ahmadi Zahra","raw_affiliation_strings":["Informatik, Johannes Gutenberg - Universit\u00e4t Mainz, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Informatik, Johannes Gutenberg - Universit\u00e4t Mainz, Germany#TAB#","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102744434","display_name":"Stefan Kr\u00e4mer","orcid":"https://orcid.org/0000-0003-0136-2540"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kramer Stefan","raw_affiliation_strings":["Informatik, Johannes Gutenberg - Universit\u00e4t Mainz#TAB#"],"affiliations":[{"raw_affiliation_string":"Informatik, Johannes Gutenberg - Universit\u00e4t Mainz#TAB#","institution_ids":["https://openalex.org/I197323543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100448610"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2180441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9973000288009644,"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":0.9973000288009644,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9969000220298767,"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/T10028","display_name":"Topic Modeling","score":0.9958999752998352,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9655730724334717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38717159628868103},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.36646997928619385},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.33060985803604126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32783177495002747},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.30825573205947876},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1882287859916687}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9655730724334717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38717159628868103},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.36646997928619385},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.33060985803604126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32783177495002747},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30825573205947876},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1882287859916687}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-419-0-519","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-519","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-419-0-519","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-519","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W7939015","https://openalex.org/W100059397","https://openalex.org/W109368050","https://openalex.org/W135524293","https://openalex.org/W1484431410","https://openalex.org/W1484732323","https://openalex.org/W1564483404","https://openalex.org/W1586085733","https://openalex.org/W1880262756","https://openalex.org/W1988545169","https://openalex.org/W2001082470","https://openalex.org/W2052496634","https://openalex.org/W2066102342","https://openalex.org/W2084597770","https://openalex.org/W2103459555","https://openalex.org/W2110591510","https://openalex.org/W2113340410","https://openalex.org/W2124066753","https://openalex.org/W2132452100","https://openalex.org/W2138268705","https://openalex.org/W2149731317","https://openalex.org/W2156821882","https://openalex.org/W2158085718","https://openalex.org/W2170817709","https://openalex.org/W3120740533","https://openalex.org/W3121180423"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"Subgroup":[0],"discovery":[1,43],"is":[2,83,147],"the":[3,10,24,38,91,108,119,144,158,176,179],"task":[4],"of":[5,26,34,134,143,160,167,178],"identifying":[6],"subgroups":[7],"that":[8,118,148],"show":[9,117],"most":[11],"unusual":[12],"statistical":[13],"(distributional)":[14],"characteristics":[15],"with":[16,125],"respect":[17],"to":[18,56,85,132,163],"a":[19,67,79,161,168],"given":[20],"target":[21],"variable,":[22],"at":[23],"intersection":[25],"predictive":[27],"and":[28,32,70,102,129,140],"descriptive":[29],"induction.":[30],"Redundancy":[31],"lack":[33],"rule":[35,64,73,123,127],"interpretability":[36],"constitute":[37],"major":[39],"challenges":[40],"in":[41,175],"subgroup":[42,63],"today.":[44],"We":[45],"address":[46],"these":[47],"two":[48],"issues":[49],"by":[50,107,153],"constrained":[51],"latent":[52],"Dirichlet":[53,76],"allocation":[54],"(LDA)":[55],"identify":[57,86],"co-occurring":[58],"feature":[59,165],"values":[60],"(descriptions)":[61],"for":[62],"search,":[65],"obtaining":[66],"less":[68,100],"redundant":[69,101],"more":[71],"diverse":[72,87],"set.":[74],"Latent":[75],"Allocation,":[77],"as":[78,155,157],"topic":[80],"modeling":[81],"approach,":[82],"able":[84],"topics,":[88],"from":[89],"which":[90,171],"rules":[92,98,152],"can":[93,103,150,172],"be":[94,105,173],"derived.":[95],"The":[96],"resulting":[97],"are":[99],"also":[104],"interpreted":[106],"corresponding":[109],"topic.":[110],"Experimental":[111],"results":[112],"on":[113],"six":[114],"benchmark":[115],"datasets":[116],"presented":[120],"approach":[121],"provides":[122],"sets":[124],"better":[126],"redundancy":[128],"diversity":[130],"compared":[131],"those":[133],"four":[135],"existing":[136],"algorithms.":[137],"One":[138],"unique":[139],"interesting":[141],"advantage":[142],"proposed":[145],"method":[146],"it":[149],"categorize":[151],"topics":[154],"well":[156],"assignment":[159],"probability":[162],"each":[164],"value":[166],"discovered":[169],"rule,":[170],"used":[174],"interpretation":[177],"results.":[180]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}