{"id":"https://openalex.org/W2794908944","doi":"https://doi.org/10.5220/0006794000310041","title":"Bitcoin Currency Fluctuation","display_name":"Bitcoin Currency Fluctuation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2794908944","doi":"https://doi.org/10.5220/0006794000310041","mag":"2794908944"},"language":"en","primary_location":{"id":"doi:10.5220/0006794000310041","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006794000310041","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0006794000310041","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071006169","display_name":"Marius Kinderis","orcid":null},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Marius Kinderis","raw_affiliation_strings":["Dublin City University, Ireland","School of Computing, Faculty of Engineering & Computing, Dublin City University, Glasnevin, Dublin"],"affiliations":[{"raw_affiliation_string":"Dublin City University, Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"School of Computing, Faculty of Engineering & Computing, Dublin City University, Glasnevin, Dublin","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060543167","display_name":"Marija Bezbradica","orcid":"https://orcid.org/0000-0001-9366-5113"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Marija Bezbradica","raw_affiliation_strings":["Dublin City University, Ireland","School of Computing, Faculty of Engineering & Computing, Dublin City University, Glasnevin, Dublin"],"affiliations":[{"raw_affiliation_string":"Dublin City University, Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"School of Computing, Faculty of Engineering & Computing, Dublin City University, Glasnevin, Dublin","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038645621","display_name":"Martin Crane","orcid":"https://orcid.org/0000-0001-7598-3126"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Martin Crane","raw_affiliation_strings":["Dublin City University, Ireland","School of Computing, Faculty of Engineering & Computing, Dublin City University, Glasnevin, Dublin"],"affiliations":[{"raw_affiliation_string":"Dublin City University, Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"School of Computing, Faculty of Engineering & Computing, Dublin City University, Glasnevin, Dublin","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071006169"],"corresponding_institution_ids":["https://openalex.org/I42934936"],"apc_list":null,"apc_paid":null,"fwci":4.1117,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94708311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9998000264167786,"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/T10270","display_name":"Blockchain Technology Applications and Security","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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9984999895095825,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9911999702453613,"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/cryptocurrency","display_name":"Cryptocurrency","score":0.9101195335388184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7014263272285461},{"id":"https://openalex.org/keywords/currency","display_name":"Currency","score":0.6990473866462708},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6568440198898315},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5409106016159058},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5359358191490173},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4653663635253906},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4388575255870819},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.411683589220047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3726414442062378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3707207441329956},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3298426866531372},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1727721393108368},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12026873230934143},{"id":"https://openalex.org/keywords/monetary-economics","display_name":"Monetary economics","score":0.08624264597892761}],"concepts":[{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.9101195335388184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014263272285461},{"id":"https://openalex.org/C141121606","wikidata":"https://www.wikidata.org/wiki/Q8142","display_name":"Currency","level":2,"score":0.6990473866462708},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6568440198898315},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5409106016159058},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5359358191490173},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4653663635253906},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4388575255870819},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.411683589220047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3726414442062378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3707207441329956},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3298426866531372},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1727721393108368},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12026873230934143},{"id":"https://openalex.org/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","level":1,"score":0.08624264597892761},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5220/0006794000310041","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006794000310041","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk","raw_type":"proceedings-article"},{"id":"pmh:oai:doras.dcu.ie:22425","is_oa":false,"landing_page_url":"https://orcid.org/0000-0001-9366-5113>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401511","display_name":"Dublin City University Open Access Institutional Repository (Dublin City University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I42934936","host_organization_name":"Dublin City University","host_organization_lineage":["https://openalex.org/I42934936"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doras.dcu.ie:22427","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401511","display_name":"Dublin City University Open Access Institutional Repository (Dublin City University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I42934936","host_organization_name":"Dublin City University","host_organization_lineage":["https://openalex.org/I42934936"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:http://www.rian.ie/150153/","is_oa":false,"landing_page_url":"http://doras.dcu.ie/22427/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kinderis, Marius, Bezbradica, Marija ORCID: 0000-0001-9366-5113 &lt;https://orcid.org/0000-0001-9366-5113&gt; and Crane, Martin ORCID: 0000-0001-7598-3126 &lt;https://orcid.org/0000-0001-7598-3126&gt;  (2018) Bitcoin currency fluctuation.  In: COMPLEXIS 2018 - 3rd International Conference on Complexity, Future Information Systems and Risk, 20-21 Mar 2018, Madeira, Portugal.  ISBN 978-989-758-297-4","raw_type":"Other"}],"best_oa_location":{"id":"doi:10.5220/0006794000310041","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006794000310041","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W947603803","https://openalex.org/W1522301498","https://openalex.org/W2146502635","https://openalex.org/W2162656107","https://openalex.org/W2175365328","https://openalex.org/W2191761874","https://openalex.org/W2205255254","https://openalex.org/W2404812126","https://openalex.org/W2497847809","https://openalex.org/W2527800909","https://openalex.org/W2586112617","https://openalex.org/W2601741161","https://openalex.org/W2612719523","https://openalex.org/W2775007683","https://openalex.org/W2785114503","https://openalex.org/W2903382683","https://openalex.org/W3123910853","https://openalex.org/W3125834471","https://openalex.org/W4248175462"],"related_works":["https://openalex.org/W4366411693","https://openalex.org/W3211641817","https://openalex.org/W3164717803","https://openalex.org/W4389915954","https://openalex.org/W3123387860","https://openalex.org/W4291291739","https://openalex.org/W2915579847","https://openalex.org/W3110645133","https://openalex.org/W4321377877","https://openalex.org/W4394604524"],"abstract_inverted_index":{"Predicting":[0],"currency":[1],"prices":[2],"remains":[3],"a":[4,42,88,99],"difficult":[5],"endeavour.":[6],"Investors":[7],"are":[8],"continually":[9],"seeking":[10],"new":[11],"ways":[12],"to":[13,29,63,138],"extract&#13;\\nmeaningful":[14],"information":[15,68],"about":[16],"the":[17,65,106,111,115,143],"future":[18],"direction":[19,116],"of":[20,33,92,113,117,133],"price":[21,75,119,135],"changes.":[22,120],"Recently,":[23],"cryptocurrencies":[24],"have":[25],"attracted&#13;\\nhuge":[26],"attention":[27],"due":[28],"their":[30],"unique":[31],"way":[32],"transferring":[34],"value":[35,40],"as":[36,38,41,58,96,98],"well":[37,97],"its":[39],"hedge.":[43],"A":[44],"method":[45],"proposed&#13;\\nin":[46],"this":[47],"project":[48],"involves":[49],"using":[50],"data":[51],"mining":[52,54],"techniques:":[53],"text":[55],"documents":[56],"such":[57,71],"news":[59],"articles":[60],"and":[61,73,130],"tweets&#13;\\ntry":[62],"infer":[64],"relationship":[66],"between":[67],"contained":[69],"in":[70,86,142],"items":[72],"cryptocurrency":[74],"direction.&#13;\\nThe":[76],"Long":[77],"Short-Term":[78],"Memory":[79],"Recurrent":[80],"Neural":[81],"Network":[82],"(LSTM":[83],"RNN)":[84],"assists":[85],"creating":[87],"hybrid":[89],"model&#13;\\nwhich":[90],"comprises":[91],"sentiment":[93],"analysis":[94],"techniques,":[95],"predictive":[100],"machine":[101],"learning":[102],"model.":[103],"The":[104],"success&#13;\\nof":[105],"model":[107],"was":[108],"evaluated":[109],"within":[110],"context":[112],"predicting":[114],"Bitcoin":[118,134],"Findings&#13;\\nreported":[121],"here":[122],"reveal":[123],"that":[124],"our":[125],"system":[126],"yields":[127],"more":[128],"accurate":[129],"real-time":[131],"predictions":[132],"fluctuations&#13;\\nwhen":[136],"compared":[137],"other":[139],"existing":[140],"models":[141],"market.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
