{"id":"https://openalex.org/W2593372848","doi":"https://doi.org/10.1016/j.knosys.2017.03.005","title":"Towards smart-data: Improving predictive accuracy in long-term football team performance","display_name":"Towards smart-data: Improving predictive accuracy in long-term football team performance","publication_year":2017,"publication_date":"2017-03-05","ids":{"openalex":"https://openalex.org/W2593372848","doi":"https://doi.org/10.1016/j.knosys.2017.03.005","mag":"2593372848"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2017.03.005","doi":"https://doi.org/10.1016/j.knosys.2017.03.005","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2017.03.005","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-b","fnege-4","jufo-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/22040/1/Constantinou%20Towards%20Smart-Data%202017%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042011218","display_name":"Anthony Costa Constantinou","orcid":"https://orcid.org/0000-0001-7147-6821","observed_orcids":["https://orcid.org/0000-0001-7147-6821"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Anthony Constantinou","raw_affiliation_strings":["Risk and Information Management (RIM) Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Risk and Information Management (RIM) Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069178881","display_name":"Norman Fenton","orcid":"https://orcid.org/0000-0003-2924-0510","observed_orcids":["https://orcid.org/0000-0003-2924-0510"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Norman Fenton","raw_affiliation_strings":["Risk and Information Management (RIM) Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Risk and Information Management (RIM) Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042011218"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":{"value":3430,"currency":"USD","value_usd":3430},"apc_paid":null,"fwci":12.2842,"has_fulltext":true,"cited_by_count":61,"citation_normalized_percentile":{"value":0.98346569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"124","issue":null,"first_page":"93","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":1.0,"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"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":9.999999747378752e-05,"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/T10157","display_name":"Sports Performance and Training","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smart-data","display_name":"smart data","score":0.9340000152587891},{"id":"https://openalex.org/keywords/causal-knowledge","display_name":"causal knowledge","score":0.6930000185966492},{"id":"https://openalex.org/keywords/knowledge-engineering","display_name":"knowledge engineering","score":0.6899999976158142},{"id":"https://openalex.org/keywords/data-engineering","display_name":"data engineering","score":0.8899999856948853},{"id":"https://openalex.org/keywords/data-scarcity","display_name":"data scarcity","score":0.6389999985694885},{"id":"https://openalex.org/keywords/model-building","display_name":"model development","score":0.4129999876022339},{"id":"https://openalex.org/keywords/favorite-longshot-bias","display_name":"favorite-longshot bias","score":0.972000002861023},{"id":"https://openalex.org/keywords/betting-odds","display_name":"betting odds","score":0.7549999952316284},{"id":"https://openalex.org/keywords/sports-forecasting","display_name":"sports prediction","score":0.4790000021457672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140103578567505},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6306747198104858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5875207185745239},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5745190382003784},{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.5727754831314087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498511791229248},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4874546527862549},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4729444980621338},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46794217824935913},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4670647084712982},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.43852078914642334},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2781621813774109},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12269705533981323},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.knosys.2017.03.005","doi":"https://doi.org/10.1016/j.knosys.2017.03.005","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2017.03.005","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-b","fnege-4","jufo-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/22040","doi":null,"is_oa":true,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/22040","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/22040/1/Constantinou%20Towards%20Smart-Data%202017%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/22040","doi":null,"is_oa":true,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/22040","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/22040/1/Constantinou%20Towards%20Smart-Data%202017%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2593372848.pdf","grobid_xml":"https://content.openalex.org/works/W2593372848.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1597864774","https://openalex.org/W1968507428","https://openalex.org/W1969243910","https://openalex.org/W1975926620","https://openalex.org/W1978664738","https://openalex.org/W1980702505","https://openalex.org/W1989661440","https://openalex.org/W1992472938","https://openalex.org/W1998327557","https://openalex.org/W1999835727","https://openalex.org/W2022909726","https://openalex.org/W2035378550","https://openalex.org/W2040809628","https://openalex.org/W2063948020","https://openalex.org/W2069872556","https://openalex.org/W2076700146","https://openalex.org/W2081955453","https://openalex.org/W2083690438","https://openalex.org/W2088183059","https://openalex.org/W2092966587","https://openalex.org/W2103941978","https://openalex.org/W2104512224","https://openalex.org/W2106063922","https://openalex.org/W2109802089","https://openalex.org/W2109981681","https://openalex.org/W2112428422","https://openalex.org/W2130648784","https://openalex.org/W2136744117","https://openalex.org/W2141282800","https://openalex.org/W2141907289","https://openalex.org/W2145480231","https://openalex.org/W2169945070","https://openalex.org/W2170428988","https://openalex.org/W2172229041","https://openalex.org/W2298329032","https://openalex.org/W4251172221"],"related_works":["https://openalex.org/W2575919074","https://openalex.org/W2575324696","https://openalex.org/W3097325874","https://openalex.org/W4411117830","https://openalex.org/W7018464706","https://openalex.org/W2551427283","https://openalex.org/W2774656968","https://openalex.org/W4411142534","https://openalex.org/W2995057090","https://openalex.org/W7206783455"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":2}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2017-03-16T00:00:00"}
