乐胖代购免代理版

{"id":"https://openalex.org/W2023062030","doi":"https://doi.org/10.1145/2783258.2788577","title":"Discerning Tactical Patterns for Professional Soccer Teams","display_name":"Discerning Tactical Patterns for Professional Soccer Teams","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W2023062030","doi":"https://doi.org/10.1145/2783258.2788577","mag":"2023062030"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2788577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100434812","display_name":"Qing Wang","orcid":"https://orcid.org/0000-0002-1853-4022"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Baidu. Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu. Inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028870975","display_name":"Wei Hu","orcid":"https://orcid.org/0009-0008-7488-9443"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hu","raw_affiliation_strings":["Baidu. Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu. Inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101832996","display_name":"Zhiyong Shen","orcid":"https://orcid.org/0009-0009-9858-3040"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Shen","raw_affiliation_strings":["Baidu. Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu. Inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337338","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0002-2705-6245"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.188,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":49,"citation_normalized_percentile":{"value":0.986976,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9995,"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":0.9995,"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/T10157","display_name":"Sports Performance and Training","score":0.973,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9658,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74241734},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49398643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48601088},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4105714},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34374392}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2788577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.59}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W109269719","https://openalex.org/W1503398984","https://openalex.org/W1559754312","https://openalex.org/W1643201308","https://openalex.org/W1880262756","https://openalex.org/W1981832346","https://openalex.org/W2001529954","https://openalex.org/W2039376073","https://openalex.org/W2052399947","https://openalex.org/W2059096325","https://openalex.org/W2072644219","https://openalex.org/W2077469664","https://openalex.org/W2107743791","https://openalex.org/W2110591510","https://openalex.org/W2112050062","https://openalex.org/W2140124448","https://openalex.org/W2149021215","https://openalex.org/W2158169396","https://openalex.org/W2158439885","https://openalex.org/W2162272335","https://openalex.org/W2172191903","https://openalex.org/W2395006796","https://openalex.org/W2545266867","https://openalex.org/W4233135949"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2625833328","https://openalex.org/W2392921965","https://openalex.org/W2377979023","https://openalex.org/W2361861616","https://openalex.org/W2358755282","https://openalex.org/W2263699433","https://openalex.org/W2251519152","https://openalex.org/W2218034408","https://openalex.org/W1533177136"],"abstract_inverted_index":{"Analyzing":[0],"team":[1,190],"tactics":[2,188],"plays":[3],"an":[4,65,147],"important":[5],"role":[6],"in":[7,60,205],"the":[8,13,18,49,71,82,103,110,126,158,168],"professional":[9],"soccer":[10,78],"industry.":[11],"Recently,":[12],"progressing":[14],"ability":[15],"to":[16,27,68,151,194],"track":[17],"mobility":[19],"of":[20,54,77,115,141],"ball":[21],"and":[22,51,112,138,181,198],"players":[23,116],"makes":[24],"it":[25],"possible":[26],"accumulate":[28],"extensive":[29],"match":[30,84],"logs,":[31],"which":[32,107,187],"open":[33],"a":[34,92,189,196,200,209],"venue":[35],"for":[36,43,101],"better":[37],"tactical":[38,44,75,105,132,179],"analysis.":[39],"However,":[40],"traditional":[41],"methods":[42],"analysis":[45,140],"largely":[46],"rely":[47],"on":[48,157],"knowledge":[50],"manual":[52],"labor":[53],"domain":[55],"experts.":[56],"To":[57,86],"this":[58,61],"end,":[59],"paper":[62],"we":[63,89,119,145,173],"propose":[64],"unsupervised":[66],"approach":[67,155],"automatically":[69],"discerning":[70],"typical":[72],"tactics,":[73],"i.e.,":[74],"patterns,":[76,106],"teams":[79],"through":[80],"mining":[81],"historical":[83],"logs.":[85],"be":[87],"specific,":[88],"first":[90],"develop":[91],"novel":[93],"model":[94,109],"named":[95],"Team":[96],"Tactic":[97],"Topic":[98],"Model":[99],"(T3M)":[100],"learning":[102],"latent":[104],"can":[108,174],"locations":[111],"passing":[113],"relations":[114],"simultaneously.":[117],"Furthermore,":[118],"demonstrate":[120],"several":[121],"potential":[122],"applications":[123],"enabled":[124],"by":[125,166],"proposed":[127],"T3M,":[128,172],"such":[129,184],"as":[130,185],"automatic":[131],"pattern":[133],"discovery,":[134],"pass":[135],"segment":[136],"annotation,":[137],"spatial":[139],"player":[142],"roles.":[143],"Finally,":[144],"implement":[146],"intelligent":[148],"demo":[149],"system":[150],"empirically":[152],"evaluate":[153],"our":[154],"based":[156],"data":[159],"collected":[160],"from":[161,171],"La":[162],"Liga":[163],"2013-2014.":[164],"Indeed,":[165],"visualizing":[167],"results":[169],"obtained":[170],"successfully":[175],"observe":[176],"many":[177],"meaningful":[178],"patterns":[180],"interesting":[182],"discoveries,":[183],"using":[186],"is":[191],"more":[192],"likely":[193],"score":[195],"goal":[197],"how":[199],"team's":[201],"playing":[202],"tactic":[203],"changes":[204],"sequential":[206],"matches":[207],"across":[208],"season.":[210]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2023062030","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":5}],"updated_date":"2024-12-12T21:11:09.993930","created_date":"2016-06-24"}