{"id":"https://openalex.org/W2031888956","doi":"https://doi.org/10.1109/icdim.2011.6093359","title":"Maintaining imbalance highly dependent medical data using dirichlet process data generation","display_name":"Maintaining imbalance highly dependent medical data using dirichlet process data generation","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2031888956","doi":"https://doi.org/10.1109/icdim.2011.6093359","mag":"2031888956"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2011.6093359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2011.6093359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Sixth International Conference on Digital Information Management","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/A5041588563","display_name":"Tieta Antaresti","orcid":null},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tieta Antaresti","raw_affiliation_strings":["Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]},{"raw_affiliation_string":"Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081741492","display_name":"Mohamad Ivan Fanany","orcid":"https://orcid.org/0000-0002-6050-664X"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mohamad Ivan Fanany","raw_affiliation_strings":["Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]},{"raw_affiliation_string":"Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039645915","display_name":"Aniati Murni Arymurthy","orcid":"https://orcid.org/0000-0002-2762-7001"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Aniati Murni Arymurthy","raw_affiliation_strings":["Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]},{"raw_affiliation_string":"Pattern Recognition, Image Processing, and Content-Based Image Retrieval Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09605008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/oversampling","display_name":"Oversampling","score":0.806703507900238},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.7491327524185181},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.6774004697799683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.575789749622345},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.544429361820221},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.523963212966919},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.48777395486831665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4839777946472168},{"id":"https://openalex.org/keywords/dirichlet-process","display_name":"Dirichlet process","score":0.47602325677871704},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4697962999343872},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4575764834880829},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43643510341644287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41849151253700256},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4172016978263855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30927813053131104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3005239963531494},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.2181747853755951},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.07650294899940491}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.806703507900238},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.7491327524185181},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.6774004697799683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.575789749622345},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.544429361820221},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.523963212966919},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.48777395486831665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4839777946472168},{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.47602325677871704},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4697962999343872},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4575764834880829},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43643510341644287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41849151253700256},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4172016978263855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30927813053131104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3005239963531494},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.2181747853755951},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.07650294899940491},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2011.6093359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2011.6093359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Sixth International Conference on Digital Information Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W179179905","https://openalex.org/W1532011399","https://openalex.org/W1554784324","https://openalex.org/W1559060276","https://openalex.org/W1663973292","https://openalex.org/W1817561967","https://openalex.org/W1928670660","https://openalex.org/W2009086942","https://openalex.org/W2070377310","https://openalex.org/W2072888391","https://openalex.org/W2092091037","https://openalex.org/W2096352448","https://openalex.org/W2107262046","https://openalex.org/W2110897879","https://openalex.org/W2120655216","https://openalex.org/W2127514216","https://openalex.org/W2133589238","https://openalex.org/W2136860779","https://openalex.org/W2140785063","https://openalex.org/W2285072859","https://openalex.org/W2519011775","https://openalex.org/W4299985731","https://openalex.org/W6607259140","https://openalex.org/W6633301734","https://openalex.org/W6640366526"],"related_works":["https://openalex.org/W2954539699","https://openalex.org/W2059879108","https://openalex.org/W3142820572","https://openalex.org/W4381683374","https://openalex.org/W1989637290","https://openalex.org/W2158266063","https://openalex.org/W114980831","https://openalex.org/W4321471958","https://openalex.org/W4283332361","https://openalex.org/W2397915214"],"abstract_inverted_index":{"The":[0],"existence":[1],"of":[2,23,37,65,69,79,90,101],"imbalanced":[3],"data":[4,26,71,83],"between":[5],"one":[6],"class":[7,10],"and":[8,106],"another":[9],"is":[11,29],"an":[12],"important":[13],"issue":[14],"to":[15,46,75],"be":[16],"considered":[17],"in":[18],"a":[19,53,59,62],"classification":[20,43,103],"problem.":[21],"One":[22],"the":[24,30,35,77,80,87,91,99],"well-known":[25],"balancing":[27,95],"technique":[28],"artificial":[31],"oversampling,":[32],"which":[33],"increase":[34],"size":[36],"datasets.":[38],"In":[39],"this":[40],"research,":[41],"multinomial":[42],"was":[44,73],"applied":[45],"classify":[47],"some":[48],"recorded":[49],"features":[50],"obtained":[51],"from":[52],"single":[54],"ECG":[55],"(electrocardiograph)":[56],"sensor.":[57],"Therefore,":[58],"Dirichlet":[60],"process,":[61],"dirichlet":[63],"distribution":[64,67,78],"cumulative":[66],"function":[68],"each":[70],"partition,":[72],"needed":[74],"model":[76],"new":[81],"generated":[82],"by":[84],"also":[85],"considering":[86],"statistical":[88],"properties":[89],"previous":[92],"data.":[93],"Data":[94],"process":[96],"had":[97],"given":[98],"result":[100],"77.21%":[102],"accuracy":[104],"(CA),":[105],"90.9%":[107],"area":[108],"under":[109],"ROC":[110],"curve":[111],"(AUC).":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
