{"id":"https://openalex.org/W2091182488","doi":"https://doi.org/10.1109/bmei.2012.6513050","title":"Application of data mining techniques in sports training","display_name":"Application of data mining techniques in sports training","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2091182488","doi":"https://doi.org/10.1109/bmei.2012.6513050","mag":"2091182488"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2012.6513050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6513050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","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/A5100444773","display_name":"Yingying Li","orcid":"https://orcid.org/0000-0002-2096-8313"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingying Li","raw_affiliation_strings":["Dept. Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","Dept. Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"Dept. Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391587","display_name":"Yimin Zhang","orcid":"https://orcid.org/0000-0001-7673-8800"},"institutions":[{"id":"https://openalex.org/I4210110925","display_name":"Jiaozuo University","ror":"https://ror.org/024nbxn35","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110925"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Zhang","raw_affiliation_strings":["Dept. Computer and Communication, Jiaozuo Coal Industrial Group CO., LTD, Jiaozuo, China","Dept. Comput. & Commun., Jiaozuo Coal Ind. Group Co., Ltd., Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Dept. Computer and Communication, Jiaozuo Coal Industrial Group CO., LTD, Jiaozuo, China","institution_ids":["https://openalex.org/I4210110925"]},{"raw_affiliation_string":"Dept. Comput. & Commun., Jiaozuo Coal Ind. Group Co., Ltd., Jiaozuo, China","institution_ids":["https://openalex.org/I4210110925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100444773"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":0.7105,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81851735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"954","last_page":"958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9132000207901001,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9132000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7103059887886047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6946436166763306},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5546436309814453},{"id":"https://openalex.org/keywords/athletes","display_name":"Athletes","score":0.5151418447494507},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49659615755081177},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.4234941005706787},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41042831540107727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39516860246658325},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3603876829147339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30974239110946655},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.1315503716468811},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0919865071773529},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08261844515800476}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7103059887886047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946436166763306},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5546436309814453},{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.5151418447494507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49659615755081177},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.4234941005706787},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41042831540107727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39516860246658325},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3603876829147339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30974239110946655},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.1315503716468811},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0919865071773529},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08261844515800476},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.0},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2012.6513050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6513050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5299999713897705,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1489537150","https://openalex.org/W1565050238","https://openalex.org/W1998871699","https://openalex.org/W2096083472","https://openalex.org/W2117853077","https://openalex.org/W2168807180","https://openalex.org/W2953965357","https://openalex.org/W4252521233"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W3176449234","https://openalex.org/W2807508722","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W4225278791","https://openalex.org/W2045002201","https://openalex.org/W2971352445","https://openalex.org/W4322502698","https://openalex.org/W2604015980"],"abstract_inverted_index":{"Data":[0],"mining":[1,30],"techniques":[2,31],"have":[3],"been":[4],"successfully":[5],"applied":[6],"in":[7],"stock,":[8],"insurance,":[9],"medicine,":[10],"banking":[11],"and":[12,38,66,98],"retailing":[13],"domains.":[14],"In":[15],"the":[16,41,81,87,90,104],"sport":[17,21,72],"domain,":[18],"for":[19],"transforming":[20],"data":[22,29,74],"into":[23],"actionable":[24],"knowledge,":[25],"coaches":[26],"can":[27],"use":[28],"to":[32,39,70,93,102],"plan":[33],"training":[34,107],"sessions":[35],"more":[36],"effectively,":[37],"reduce":[40],"impact":[42],"of":[43,83,96,106],"testing":[44],"activity":[45],"on":[46],"athletes.":[47],"This":[48],"paper":[49],"presents":[50],"one":[51],"such":[52,58],"model,":[53],"which":[54],"uses":[55],"clustering":[56,68],"techniques,":[57],"as":[59],"improved":[60],"K-Means,":[61],"Expectation-Maximization":[62],"(EM),":[63],"DBSCAN,":[64],"COBWEB":[65],"hierarchical":[67],"approaches":[69],"analyze":[71],"physiological":[73],"collected":[75],"during":[76],"incremental":[77],"tests.":[78],"Through":[79],"analyzing":[80],"progress":[82],"a":[84,94],"test":[85],"session,":[86],"authors":[88],"assign":[89],"tested":[91],"athlete":[92],"group":[95],"athletes":[97],"evaluate":[99],"these":[100],"groups":[101],"support":[103],"planning":[105],"sessions.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
