{"id":"https://openalex.org/W4391113947","doi":"https://doi.org/10.1109/bigdata59044.2023.10386966","title":"Scalable Homology Classification through Decomposed Euler Characteristic Curves","display_name":"Scalable Homology Classification through Decomposed Euler Characteristic Curves","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391113947","doi":"https://doi.org/10.1109/bigdata59044.2023.10386966"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386966","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5053803135","display_name":"Nicholas O. Malott","orcid":"https://orcid.org/0000-0003-3848-4381"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas O. Malott","raw_affiliation_strings":["University of Cincinnati,Cincinnati,USA,OH 45221"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati,Cincinnati,USA,OH 45221","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011672232","display_name":"Philip A. Wilsey","orcid":"https://orcid.org/0000-0002-6562-8646"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip A. Wilsey","raw_affiliation_strings":["University of Cincinnati,Cincinnati,USA,OH 45221"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati,Cincinnati,USA,OH 45221","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":0.1837,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58753245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"157","issue":null,"first_page":"768","last_page":"777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/persistent-homology","display_name":"Persistent homology","score":0.7884343266487122},{"id":"https://openalex.org/keywords/euler-characteristic","display_name":"Euler characteristic","score":0.7254911661148071},{"id":"https://openalex.org/keywords/homology","display_name":"Homology (biology)","score":0.6698572635650635},{"id":"https://openalex.org/keywords/topological-data-analysis","display_name":"Topological data analysis","score":0.6424133777618408},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5932180881500244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49345818161964417},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.46282392740249634},{"id":"https://openalex.org/keywords/eulers-formula","display_name":"Euler's formula","score":0.46159669756889343},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4566227197647095},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38081878423690796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35997408628463745},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3491393029689789},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3423636555671692},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3275441527366638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2820223569869995},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.1465587317943573},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13959452509880066},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11270305514335632},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0838795006275177}],"concepts":[{"id":"https://openalex.org/C2874115","wikidata":"https://www.wikidata.org/wiki/Q17099562","display_name":"Persistent homology","level":2,"score":0.7884343266487122},{"id":"https://openalex.org/C196433757","wikidata":"https://www.wikidata.org/wiki/Q852973","display_name":"Euler characteristic","level":2,"score":0.7254911661148071},{"id":"https://openalex.org/C165525559","wikidata":"https://www.wikidata.org/wiki/Q224180","display_name":"Homology (biology)","level":3,"score":0.6698572635650635},{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.6424133777618408},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5932180881500244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49345818161964417},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.46282392740249634},{"id":"https://openalex.org/C62884695","wikidata":"https://www.wikidata.org/wiki/Q184871","display_name":"Euler's formula","level":2,"score":0.46159669756889343},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4566227197647095},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38081878423690796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35997408628463745},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3491393029689789},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3423636555671692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3275441527366638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2820223569869995},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.1465587317943573},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13959452509880066},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11270305514335632},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0838795006275177},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386966","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W124643305","https://openalex.org/W1753705553","https://openalex.org/W1839682376","https://openalex.org/W1967760180","https://openalex.org/W1975257359","https://openalex.org/W2002165972","https://openalex.org/W2003660259","https://openalex.org/W2020408022","https://openalex.org/W2021125686","https://openalex.org/W2026940923","https://openalex.org/W2064020260","https://openalex.org/W2104339857","https://openalex.org/W2107385756","https://openalex.org/W2124338751","https://openalex.org/W2124511088","https://openalex.org/W2137556660","https://openalex.org/W2144044408","https://openalex.org/W2148676644","https://openalex.org/W2154187696","https://openalex.org/W2157529519","https://openalex.org/W2163339655","https://openalex.org/W2166547175","https://openalex.org/W2271786311","https://openalex.org/W2474744642","https://openalex.org/W2481594651","https://openalex.org/W2773695849","https://openalex.org/W2911964244","https://openalex.org/W2912764462","https://openalex.org/W2964209273","https://openalex.org/W2964534207","https://openalex.org/W2980929630","https://openalex.org/W2981390113","https://openalex.org/W3007353017","https://openalex.org/W3022436500","https://openalex.org/W3098455240","https://openalex.org/W3103629626","https://openalex.org/W3130145619","https://openalex.org/W3213697241","https://openalex.org/W4206186921","https://openalex.org/W4210495778","https://openalex.org/W4226456866","https://openalex.org/W4241752267","https://openalex.org/W4318811854","https://openalex.org/W4319585872","https://openalex.org/W6617749853","https://openalex.org/W6638638485","https://openalex.org/W6691329757","https://openalex.org/W6753873093","https://openalex.org/W6754103575","https://openalex.org/W6809956230","https://openalex.org/W7047157160"],"related_works":["https://openalex.org/W2886923060","https://openalex.org/W2887690685","https://openalex.org/W2129730857","https://openalex.org/W4287394697","https://openalex.org/W3119689987","https://openalex.org/W4206186921","https://openalex.org/W4287327453","https://openalex.org/W3130227603","https://openalex.org/W3213697241","https://openalex.org/W4391113947"],"abstract_inverted_index":{"Topological":[0],"Data":[1],"Analysis":[2],"(TDA)":[3],"has":[4,97],"demonstrated":[5],"notable":[6],"success":[7],"in":[8,18,79,149],"data":[9,37,55,169],"mining":[10],"by":[11,112],"measuring":[12],"the":[13,29,50,90,102,108,117,128,150,163],"presence":[14],"of":[15,26,32,92,127,133,137,152,173],"topological":[16,134],"structure":[17],"data.":[19],"Persistent":[20],"Homology":[21],"(PH),":[22],"one":[23],"popular":[24],"tool":[25],"TDA,":[27],"examines":[28,116],"nested":[30],"sequence":[31],"graphs":[33],"formed":[34],"over":[35],"a":[36,67,86],"filtration":[38],"to":[39,52,71,89,100,139,167],"characterize":[40],"unique":[41],"homology":[42,59,109,176],"classes.":[43],"PH":[44],"suffers":[45],"from":[46],"exponential":[47],"complexity,":[48],"limiting":[49],"approach":[51],"relatively":[53],"small":[54],"sets":[56,170],"and":[57,124,141,147,165],"lower":[58],"class":[60],"applications.":[61,177],"The":[62],"Euler":[63],"Characteristic":[64],"Curve":[65],"(ECC),":[66],"metric":[68],"closely":[69],"related":[70],"PH,":[72],"can":[73,82],"be":[74,83],"computed":[75],"more":[76],"efficiently":[77],"and,":[78],"some":[80],"cases,":[81],"used":[84],"as":[85,130],"direct":[87],"replacement":[88],"applications":[91],"PH.":[93,113],"A":[94],"recent":[95],"technique":[96],"been":[98],"introduced":[99],"separate":[101],"ECC":[103,143,161],"into":[104],"dimensional":[105,118],"components":[106],"representing":[107],"classes":[110],"identified":[111],"This":[114],"study":[115],"ECC,":[119],"provides":[120],"an":[121],"improved":[122],"algorithm,":[123],"introduces":[125],"interpretation":[126],"results":[129,159],"proximity-series":[131],"representations":[132],"features;":[135],"exploration":[136],"how":[138],"compare":[140],"classify":[142],"curves":[144],"is":[145],"detailed":[146],"shown":[148],"context":[151],"MRA":[153],"Brain":[154],"Artery":[155],"scan":[156],"classification.":[157],"Experimental":[158],"with":[160],"demonstrate":[162],"effectiveness":[164],"scalability":[166],"big":[168],"beyond":[171],"that":[172],"current":[174],"persistent":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
