{"id":"https://openalex.org/W4214820101","doi":"https://doi.org/10.1109/ccwc54503.2022.9720805","title":"Improving the Machine Learning Prediction Accuracy with Clustering Discretization","display_name":"Improving the Machine Learning Prediction Accuracy with Clustering Discretization","publication_year":2022,"publication_date":"2022-01-26","ids":{"openalex":"https://openalex.org/W4214820101","doi":"https://doi.org/10.1109/ccwc54503.2022.9720805"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc54503.2022.9720805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc54503.2022.9720805","pdf_url":null,"source":{"id":"https://openalex.org/S4363608098","display_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5034723191","display_name":"Chunlan Gao","orcid":"https://orcid.org/0009-0003-1929-4037"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chunlan Gao","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA","Department of Computer Science, Georgia State University, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019641855","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0001-9030-5876"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanqing Zhang","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA","Department of Computer Science, Georgia State University, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085923839","display_name":"Dan Lo","orcid":"https://orcid.org/0000-0003-4396-0370"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Lo","raw_affiliation_strings":["Kennesaw State University,Department of Computer Science,Marietta,USA","Department of Computer Science, Kennesaw State University, Marietta, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Computer Science,Marietta,USA","institution_ids":["https://openalex.org/I172980758"]},{"raw_affiliation_string":"Department of Computer Science, Kennesaw State University, Marietta, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Shi","raw_affiliation_strings":["Kennesaw State University,Department of Computer Science,Marietta,USA","Department of Computer Science, Kennesaw State University, Marietta, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Computer Science,Marietta,USA","institution_ids":["https://openalex.org/I172980758"]},{"raw_affiliation_string":"Department of Computer Science, Kennesaw State University, Marietta, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066790771","display_name":"Jian Huang","orcid":"https://orcid.org/0000-0002-6267-8824"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Huang","raw_affiliation_strings":["School of Computer Science, Georgia Institute of Technology,Atlanta,USA","School of Computer Science, Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Georgia Institute of Technology,Atlanta,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Computer Science, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034723191"],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":1.4538,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79565773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"0513","last_page":"0517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9192000031471252,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7449467182159424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.725445032119751},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.7061787247657776},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.703620433807373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6947665810585022},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6773233413696289},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.676467776298523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6294052004814148},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.588609516620636},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5551881790161133},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.5087359547615051},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4995689392089844},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43012794852256775},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.42669156193733215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39025911688804626},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18410775065422058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11766278743743896}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7449467182159424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725445032119751},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.7061787247657776},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.703620433807373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947665810585022},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6773233413696289},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.676467776298523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6294052004814148},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.588609516620636},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5551881790161133},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.5087359547615051},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4995689392089844},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43012794852256775},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.42669156193733215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39025911688804626},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18410775065422058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11766278743743896},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc54503.2022.9720805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc54503.2022.9720805","pdf_url":null,"source":{"id":"https://openalex.org/S4363608098","display_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","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":8,"referenced_works":["https://openalex.org/W2004147962","https://openalex.org/W2058200059","https://openalex.org/W2061794300","https://openalex.org/W2167101736","https://openalex.org/W2600503224","https://openalex.org/W2786121076","https://openalex.org/W3028502061","https://openalex.org/W3105233635"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"Classification":[0],"with":[1,22,45],"Machine":[2,19],"Learning":[3,20],"is":[4],"widely":[5],"used":[6],"in":[7,80],"healthcare":[8,26],"data":[9,46,59],"analysis.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14],"use":[15],"the":[16,30,36,63,69],"Logistic":[17,43],"Regression":[18,44],"algorithm":[21],"a":[23,56],"heart-related":[24],"death":[25],"dataset":[27],"to":[28,34],"predict":[29],"diagnosis.":[31],"We":[32,61],"aimed":[33],"improve":[35],"prediction":[37,71,81],"accuracy,":[38,82],"recall,":[39,83],"and":[40,52,84],"precision":[41,85],"for":[42],"preprocessing":[47],"which":[48],"includes":[49],"feature":[50],"selection":[51],"clustering-based":[53,66],"discretization":[54,67],"on":[55,68],"selected":[57],"continuous":[58],"attribute.":[60],"explored":[62],"impacts":[64],"of":[65],"model":[70],"accuracy":[72],"rate.":[73],"The":[74],"test":[75],"results":[76],"showed":[77],"an":[78],"improvement":[79],"after":[86],"preprocessing.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}