{"id":"https://openalex.org/W4280513670","doi":"https://doi.org/10.23919/fruct54823.2022.9770918","title":"Shopping Basket Analisys for Mining Equipment: Comparison and Evaluation of Modern Methods","display_name":"Shopping Basket Analisys for Mining Equipment: Comparison and Evaluation of Modern Methods","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4280513670","doi":"https://doi.org/10.23919/fruct54823.2022.9770918"},"language":"en","primary_location":{"id":"doi:10.23919/fruct54823.2022.9770918","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct54823.2022.9770918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","doaj"],"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/A5009160877","display_name":"Egor Nikitin","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Egor Nikitin","raw_affiliation_strings":["ITMO University,Saint-Petersburg,Russia","ITMO University, Saint-Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITMO University,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"ITMO University, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016499776","display_name":"Alexey Kashevnik","orcid":"https://orcid.org/0000-0001-6503-1447"},"institutions":[{"id":"https://openalex.org/I197524780","display_name":"Petrozavodsk State University","ror":"https://ror.org/0176aa147","country_code":"RU","type":"education","lineage":["https://openalex.org/I197524780"]},{"id":"https://openalex.org/I4210165514","display_name":"Photochemistry Center","ror":"https://ror.org/05s61gx60","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210145551","https://openalex.org/I4210165514"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Kashevnik","raw_affiliation_strings":["SPC RAS,Saint-Petersburg,Russia","Petrozavodsk State University, Petrozavodsk, Russia","SPC RAS, Saint-Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPC RAS,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I4210165514"]},{"raw_affiliation_string":"Petrozavodsk State University, Petrozavodsk, Russia","institution_ids":["https://openalex.org/I197524780"]},{"raw_affiliation_string":"SPC RAS, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I4210165514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013616253","display_name":"Nikolay Shilov","orcid":"https://orcid.org/0000-0002-9264-9127"},"institutions":[{"id":"https://openalex.org/I4210165514","display_name":"Photochemistry Center","ror":"https://ror.org/05s61gx60","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210145551","https://openalex.org/I4210165514"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikolay Shilov","raw_affiliation_strings":["SPC RAS,Saint-Petersburg,Russia","SPC RAS, Saint-Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPC RAS,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I4210165514"]},{"raw_affiliation_string":"SPC RAS, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I4210165514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"207","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14082","display_name":"Modeling, Simulation, and Optimization","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2607","display_name":"Discrete Mathematics and Combinatorics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14082","display_name":"Modeling, Simulation, and Optimization","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2607","display_name":"Discrete Mathematics and Combinatorics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9363999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7771702408790588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6504405736923218},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.550855815410614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49852466583251953},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.4669051766395569},{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.46125778555870056},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4474214017391205},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44572392106056213},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4199215769767761},{"id":"https://openalex.org/keywords/affinity-analysis","display_name":"Affinity analysis","score":0.4130944609642029},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1229449212551117},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.08136636018753052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07894107699394226}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7771702408790588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6504405736923218},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.550855815410614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49852466583251953},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.4669051766395569},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.46125778555870056},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4474214017391205},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44572392106056213},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4199215769767761},{"id":"https://openalex.org/C23906176","wikidata":"https://www.wikidata.org/wiki/Q727515","display_name":"Affinity analysis","level":3,"score":0.4130944609642029},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1229449212551117},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.08136636018753052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07894107699394226},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct54823.2022.9770918","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct54823.2022.9770918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:3160cb22304c478ab3e3e107a0900fa6","is_oa":false,"landing_page_url":"https://doaj.org/article/3160cb22304c478ab3e3e107a0900fa6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 31, Iss 1, Pp 207-213 (2022)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2065295848","https://openalex.org/W2585413631","https://openalex.org/W2793073333","https://openalex.org/W2977976803","https://openalex.org/W3048023405","https://openalex.org/W3048328166","https://openalex.org/W3092236471","https://openalex.org/W3158775287","https://openalex.org/W3198967093","https://openalex.org/W3202083998","https://openalex.org/W4221115404","https://openalex.org/W6802120316"],"related_works":["https://openalex.org/W2607264580","https://openalex.org/W2587896742","https://openalex.org/W4284697452","https://openalex.org/W1997795943","https://openalex.org/W4308793916","https://openalex.org/W3119453588","https://openalex.org/W1998540199","https://openalex.org/W1481792368","https://openalex.org/W3036124657","https://openalex.org/W4248176152"],"abstract_inverted_index":{"The":[0,14],"problem":[1],"of":[2,55,82,92,116],"forecasting":[3,11],"volatile":[4],"sparse":[5],"demand":[6],"is":[7,16,40,80],"rather":[8],"different":[9,100],"from":[10],"mass":[12],"sales.":[13,61],"paper":[15],"devoted":[17],"to":[18],"finding":[19],"a":[20,32,63],"solution":[21],"for":[22,28,35,73,102,130],"analyzing":[23],"the":[24,60,83,114,123,127,135],"dependencies":[25],"between":[26],"demands":[27],"various":[29],"goods":[30],"in":[31,87,90,134],"shopping":[33,131],"basket":[34,132],"mining":[36,117],"industry.":[37],"Mining":[38],"equipment":[39,118],"usually":[41],"characterized":[42],"by":[43],"high":[44,65],"price":[45],"and":[46,53,94,108,110,125],"stock":[47],"costs,":[48],"rare":[49],"sales":[50,67,119],"per":[51],"item,":[52],"availability":[54],"little":[56],"statistical":[57],"data":[58,115],"on":[59,113],"As":[62],"result,":[64],"quality":[66],"forecast":[68],"could":[69],"be":[70],"very":[71],"useful":[72],"companies":[74],"selling":[75],"this":[76,88],"equipment.":[77],"Association":[78],"rules":[79,104],"one":[81,129],"most":[84],"promising":[85],"approaches":[86],"domain":[89],"terms":[91],"accuracy":[93],"running":[95],"time.":[96],"We":[97,121],"consider":[98],"three":[99],"algorithms":[101],"association":[103],"search":[105],"(Apriori,":[106],"ECLAT,":[107],"FP-Growth)":[109],"evaluate":[111],"those":[112],"dataset.":[120],"compare":[122],"methods":[124],"chose":[126],"best":[128],"analysis":[133],"considered":[136],"domain.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
