{"id":"https://openalex.org/W4415947627","doi":"https://doi.org/10.1007/978-3-032-10489-2_40","title":"Towards Bitcoin Trend Prediction: A Machine Learning Approach Using Blockchain-Derived Data","display_name":"Towards Bitcoin Trend Prediction: A Machine Learning Approach Using Blockchain-Derived Data","publication_year":2025,"publication_date":"2025-11-06","ids":{"openalex":"https://openalex.org/W4415947627","doi":"https://doi.org/10.1007/978-3-032-10489-2_40"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-10489-2_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-10489-2_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5118665613","display_name":"Arthur G. Bubolz","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Arthur G. Bubolz","raw_affiliation_strings":["Federal University of Rio Grande, Rio Grande, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marcos C. Freitas","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos C. Freitas","raw_affiliation_strings":["Federal University of Rio Grande, Rio Grande, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031787326","display_name":"Giancarlo Lucca","orcid":"https://orcid.org/0000-0002-3776-0260"},"institutions":[{"id":"https://openalex.org/I110676245","display_name":"Universidade Cat\u00f3lica de Pelotas","ror":"https://ror.org/0376myh60","country_code":"BR","type":"education","lineage":["https://openalex.org/I110676245"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Giancarlo Lucca","raw_affiliation_strings":["Catholic University of Pelotas (UCPel), Pelotas, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-3776-0260","affiliations":[{"raw_affiliation_string":"Catholic University of Pelotas (UCPel), Pelotas, Brazil","institution_ids":["https://openalex.org/I110676245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118665540","display_name":"Rafael A. Berri","orcid":"https://orcid.org/0000-0002-3812-4186"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael A. Berri","raw_affiliation_strings":["Federal University of Rio Grande, Rio Grande, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-3812-4186","affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074958270","display_name":"Eduardo Nunes Borges","orcid":"https://orcid.org/0000-0003-1595-7676"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo N. Borges","raw_affiliation_strings":["Federal University of Rio Grande, Rio Grande, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-1595-7676","affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022197211","display_name":"Bruno L. Dalmazo","orcid":"https://orcid.org/0000-0002-6996-7602"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno L. Dalmazo","raw_affiliation_strings":["Federal University of Rio Grande, Rio Grande, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6996-7602","affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5118665613"],"corresponding_institution_ids":["https://openalex.org/I126460647"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.48809999227523804,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.48809999227523804,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.4000999927520752,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.007499999832361937,"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/preprocessor","display_name":"Preprocessor","score":0.5849999785423279},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5794000029563904},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.52920001745224},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5056999921798706},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5020999908447266},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.429500013589859},{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.42820000648498535},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.38040000200271606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.830299973487854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6962000131607056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6728000044822693},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5849999785423279},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5794000029563904},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.52920001745224},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5056999921798706},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5020999908447266},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.429500013589859},{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.42820000648498535},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.38040000200271606},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34209999442100525},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.3125},{"id":"https://openalex.org/C163068380","wikidata":"https://www.wikidata.org/wiki/Q3409313","display_name":"Economic forecasting","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C114118609","wikidata":"https://www.wikidata.org/wiki/Q3036837","display_name":"Market data","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C161657586","wikidata":"https://www.wikidata.org/wiki/Q1203326","display_name":"Technology forecasting","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-10489-2_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-10489-2_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W135267827","https://openalex.org/W2136132422","https://openalex.org/W2586112617","https://openalex.org/W2768149277","https://openalex.org/W2785114503","https://openalex.org/W3084206917","https://openalex.org/W4250664506","https://openalex.org/W4411730175"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-06T00:00:00"}