{"id":"https://openalex.org/W4362505512","doi":"https://doi.org/10.1145/3578245.3585337","title":"Extreme and Sustainable Graph Processing for Green Finance Investment and Trading","display_name":"Extreme and Sustainable Graph Processing for Green Finance Investment and Trading","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362505512","doi":"https://doi.org/10.1145/3578245.3585337"},"language":"en","primary_location":{"id":"doi:10.1145/3578245.3585337","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3578245.3585337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","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/A5005603574","display_name":"Lauren\u0163iu Vasiliu","orcid":"https://orcid.org/0009-0000-9791-2759"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Laurentiu Alexandru Vasiliu","raw_affiliation_strings":["Peracton Ltd., Galway, Ireland"],"raw_orcid":"https://orcid.org/0009-0000-9791-2759","affiliations":[{"raw_affiliation_string":"Peracton Ltd., Galway, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016864296","display_name":"Dumitru Roman","orcid":"https://orcid.org/0000-0001-6397-3705"},"institutions":[{"id":"https://openalex.org/I173888879","display_name":"SINTEF","ror":"https://ror.org/01f677e56","country_code":"NO","type":"facility","lineage":["https://openalex.org/I173888879"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Dumitru Roman","raw_affiliation_strings":["SINTEF AS, Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0001-6397-3705","affiliations":[{"raw_affiliation_string":"SINTEF AS, Oslo, Norway","institution_ids":["https://openalex.org/I173888879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050009901","display_name":"Radu Prodan","orcid":"https://orcid.org/0000-0002-8247-5426"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Radu Prodan","raw_affiliation_strings":["University of Klagenfurt, Klagenfurt, Austria"],"raw_orcid":"https://orcid.org/0000-0002-8247-5426","affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005603574"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7259,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8479277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.947700023651123,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6436318755149841},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5608256459236145},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5256417989730835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4748654365539551},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.45224910974502563},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.4317161440849304},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4165838658809662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39655211567878723},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.19770842790603638},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14460325241088867}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6436318755149841},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5608256459236145},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5256417989730835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4748654365539551},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.45224910974502563},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.4317161440849304},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4165838658809662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39655211567878723},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.19770842790603638},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14460325241088867},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3578245.3585337","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3578245.3585337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4312406906"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W2592311268"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,134],"case":[6,34],"addressing":[7],"the":[8,20,63],"drawbacks":[9],"of":[10,41,121,124],"financial":[11,47,66,76,93,130],"market":[12],"data,":[13],"its":[14],"limited":[15,28],"volumes,":[16],"history,":[17],"and":[18,22,30,43,52,71,86,103,111,132],"sometimes":[19],"incomplete":[21],"erroneous":[23],"datasets":[24],"with":[25],"variable":[26],"quality,":[27],"availability,":[29],"price":[31],"barriers.":[32],"The":[33,119],"aims":[35],"to":[36,55,61,107],"enable":[37],"fast,":[38],"semi-automated":[39],"creation":[40],"realistic":[42],"affordable":[44,117],"synthetic":[45,89,125],"(extreme)":[46],"datasets,":[48],"unlimited":[49],"in":[50],"size":[51,138],"accessibility,":[53],"ready":[54],"be":[56],"commercialized.":[57],"Peracton":[58],"Ltd.":[59],"intends":[60],"apply":[62],"resulting":[64],"extreme":[65,122],"data":[67,90,109,113,126],"multiverse":[68],"for":[69,91,139],"testing":[70,92],"improving":[72],"artificial":[73],"intelligence":[74],"(AI)-enhanced":[75],"algorithms":[77,94,131],"(e.g.,":[78],"using":[79],"machine":[80],"learning)":[81],"focused":[82],"on":[83],"green":[84],"investment":[85],"trading.":[87],"Using":[88],"removes":[95],"critical":[96],"biases,":[97],"such":[98],"as":[99],"prior":[100],"knowledge,":[101],"overfitting,":[102],"indirect":[104],"contamination":[105],"due":[106],"real-world":[108],"scarcity,":[110],"ensures":[112],"completeness":[114],"at":[115],"an":[116],"cost.":[118],"availability":[120],"(volumes)":[123],"will":[127],"consolidate":[128],"further":[129],"provide":[133],"statistically":[135],"relevant":[136],"sample":[137],"advanced":[140],"back-testing.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
