{"id":"https://openalex.org/W3110260702","doi":"https://doi.org/10.1109/idsta50958.2020.9264068","title":"Why the Concept of Shopping Baskets helps to analyze Team-Handball","display_name":"Why the Concept of Shopping Baskets helps to analyze Team-Handball","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3110260702","doi":"https://doi.org/10.1109/idsta50958.2020.9264068","mag":"3110260702"},"language":"en","primary_location":{"id":"doi:10.1109/idsta50958.2020.9264068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idsta50958.2020.9264068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","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/A5086615365","display_name":"Friedemann Schwenkreis","orcid":"https://orcid.org/0000-0003-4072-0582"},"institutions":[{"id":"https://openalex.org/I108806672","display_name":"Baden-Wuerttemberg Cooperative State University","ror":"https://ror.org/02xdzy536","country_code":"DE","type":"education","lineage":["https://openalex.org/I108806672"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Friedemann Schwenkreis","raw_affiliation_strings":["Business Information Systems, Baden-Wuerttemberg Cooperative State University, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Business Information Systems, Baden-Wuerttemberg Cooperative State University, Stuttgart, Germany","institution_ids":["https://openalex.org/I108806672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086615365"],"corresponding_institution_ids":["https://openalex.org/I108806672"],"apc_list":null,"apc_paid":null,"fwci":0.7147,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83746341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9991000294685364,"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":0.9991000294685364,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9905999898910522,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/perspective","display_name":"Perspective (graphical)","score":0.6519618630409241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.651313304901123},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.6087648868560791},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4924546182155609},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4855015277862549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21768537163734436},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0623706579208374}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6519618630409241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651313304901123},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.6087648868560791},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4924546182155609},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4855015277862549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21768537163734436},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0623706579208374},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idsta50958.2020.9264068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idsta50958.2020.9264068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1500034700","https://openalex.org/W2193680984","https://openalex.org/W2330820318","https://openalex.org/W2887527647","https://openalex.org/W2911964244","https://openalex.org/W2967743109","https://openalex.org/W2975501111","https://openalex.org/W6628750762","https://openalex.org/W6687492664","https://openalex.org/W6941211615"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2390279801","https://openalex.org/W2144385241","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2149537132","https://openalex.org/W2376932109"],"abstract_inverted_index":{"This":[0],"paper":[1,57],"summarizes":[2],"the":[3,16,30,46,56,59,77,86,90,96],"current":[4],"results":[5],"of":[6,18,29,45,55,62,79,93],"a":[7,19,26,43],"3-year":[8],"project":[9],"that":[10,48],"applies":[11],"data":[12,37],"science":[13],"methods":[14],"in":[15],"context":[17],"traditional":[20],"team":[21],"ball":[22],"game.":[23],"Based":[24],"on":[25],"simple":[27,91],"model":[28],"game":[31],"it":[32],"will":[33],"be":[34],"described":[35],"how":[36],"was":[38],"collected":[39],"and":[40,73],"analyzed,":[41],"including":[42],"description":[44],"concepts":[47,84],"have":[49],"been":[50],"used.":[51],"An":[52],"important":[53],"aspect":[54],"is":[58],"new":[60],"perspective":[61],"looking":[63],"at":[64],"team-handball":[65],"data.":[66],"We":[67],"use":[68],"sport-specific":[69],"events":[70],"like":[71,85],"goals":[72],"passes":[74],"to":[75],"analyze":[76],"stream":[78],"indicators":[80],"rather":[81],"than":[82],"abstract":[83],"time":[87],"or":[88],"just":[89],"sequence":[92],"events.":[94],"Thus,":[95],"discovered":[97],"patterns":[98],"become":[99],"actionable":[100],"for":[101],"coaches.":[102]},"counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
