{"id":"https://openalex.org/W2802496962","doi":"https://doi.org/10.4018/ijmstr.2017100102","title":"Class Distribution Curve Based Discretization With Application to Wearable Sensors and Medical Monitoring","display_name":"Class Distribution Curve Based Discretization With Application to Wearable Sensors and Medical Monitoring","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2802496962","doi":"https://doi.org/10.4018/ijmstr.2017100102","mag":"2802496962"},"language":"en","primary_location":{"id":"doi:10.4018/ijmstr.2017100102","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijmstr.2017100102","pdf_url":null,"source":{"id":"https://openalex.org/S4210228540","display_name":"International Journal of Monitoring and Surveillance Technologies Research","issn_l":"2166-7241","issn":["2166-7241","2166-725X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Monitoring and Surveillance Technologies Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.4018/ijmstr.2017100102","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029746709","display_name":"Nicholas Skapura","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nicholas Skapura","raw_affiliation_strings":["Wright State University, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Wright State University, Dayton, USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104084428","display_name":"Guozhu Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guozhu Dong","raw_affiliation_strings":["Wright State University, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Wright State University, Dayton, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029746709"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":0.4836,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77633311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":"4","first_page":"23","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9890999794006348,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9866999983787537,"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/wearable-computer","display_name":"Wearable computer","score":0.7274283170700073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210491299629211},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6601229906082153},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6377116441726685},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5805656909942627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5669853091239929},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4740583300590515},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4468744397163391},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.42133674025535583},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.41879162192344666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4040478765964508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37228208780288696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17021819949150085},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09237968921661377}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7274283170700073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210491299629211},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6601229906082153},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6377116441726685},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5805656909942627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5669853091239929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4740583300590515},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4468744397163391},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.42133674025535583},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.41879162192344666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4040478765964508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37228208780288696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17021819949150085},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09237968921661377},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijmstr.2017100102","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijmstr.2017100102","pdf_url":null,"source":{"id":"https://openalex.org/S4210228540","display_name":"International Journal of Monitoring and Surveillance Technologies Research","issn_l":"2166-7241","issn":["2166-7241","2166-725X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Monitoring and Surveillance Technologies Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4018/ijmstr.2017100102","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijmstr.2017100102","pdf_url":null,"source":{"id":"https://openalex.org/S4210228540","display_name":"International Journal of Monitoring and Surveillance Technologies Research","issn_l":"2166-7241","issn":["2166-7241","2166-725X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Monitoring and Surveillance Technologies Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1585743408","https://openalex.org/W2038812321","https://openalex.org/W2069720347","https://openalex.org/W2115482638","https://openalex.org/W2126511896","https://openalex.org/W2134524950","https://openalex.org/W2148431855","https://openalex.org/W2151953639","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2169273553","https://openalex.org/W2213530782","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2999186374"],"abstract_inverted_index":{"Understanding":[0],"diseases":[1],"and":[2,5,17,37,137],"human":[3,135],"activities,":[4],"constructing":[6],"highly":[7],"accurate":[8,39],"classifiers":[9],"are":[10,131,169],"two":[11,129,132],"important":[12,177],"tasks":[13],"in":[14,93,114,147,178,189],"bio-medicine,":[15],"healthcare,":[16],"wearable":[18,179],"sensor":[19,180],"technology.":[20],"Being":[21],"able":[22],"to":[23,58,81,100,166,171],"mine":[24],"high-quality":[25,116],"patterns":[26,32,153],"is":[27,80,124,158,175],"useful":[28,160],"here,":[29],"as":[30,154],"such":[31],"can":[33,140],"help":[34],"improve":[35],"understanding":[36],"build":[38],"classifiers.":[40],"However,":[41],"most":[42],"pattern":[43],"mining":[44],"algorithms":[45],"only":[46],"operate":[47],"on":[48],"discrete":[49],"data;":[50],"applying":[51],"them":[52],"often":[53],"requires":[54],"a":[55,65,83,190,197],"binning":[56,102,112,143],"step":[57],"discretize":[59],"continuous":[60],"attributes.":[61],"This":[62,174],"article":[63],"presents":[64],"new":[66],"discretization":[67],"technique,":[68],"called":[69],"Class":[70],"Distribution":[71],"Curve":[72],"based":[73],"Binning":[74,109,157],"(CDC":[75],"Binning);":[76],"the":[77,90,120,128,164],"main":[78],"idea":[79],"use":[82],"so-called":[84],"class":[85,91,121],"distribution":[86,122],"curve,":[87],"which":[88],"measures":[89],"purity":[92],"sliding":[94],"windows":[95],"over":[96],"an":[97],"attribute's":[98],"range,":[99],"construct":[101],"intervals.":[103],"Experiments":[104],"show":[105],"that":[106],"(1)":[107],"CDC":[108,156],"outperforms":[110],"existing":[111],"methods":[113,144],"discovering":[115],"patterns,":[117],"especially":[118,176],"when":[119,127,150],"curve":[123],"complicated":[125],"(e.g.":[126,192],"classes":[130],"fairly":[133],"similar":[134,170],"activities),":[136],"(2)":[138],"it":[139],"outperform":[141],"other":[142],"by":[145],"10%":[146],"classification":[148],"accuracy":[149],"using":[151],"discovered":[152],"features.":[155],"particularly":[159],"for":[161],"applications":[162],"where":[163,182],"classes/activities":[165],"be":[167],"distinguished":[168],"each":[172],"other.":[173],"technology":[181],"detection":[183],"of":[184],"behavioral":[185],"or":[186],"activity":[187],"changes":[188],"person":[191],"fall":[193],"detection)":[194],"could":[195],"indicate":[196],"significant":[198],"medical":[199],"event.":[200]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}