{"id":"https://openalex.org/W2588413510","doi":"https://doi.org/10.1145/3011141.3011178","title":"Extraction method of typical purchase patterns based on motif analysis of directed graphs","display_name":"Extraction method of typical purchase patterns based on motif analysis of directed graphs","publication_year":2016,"publication_date":"2016-11-28","ids":{"openalex":"https://openalex.org/W2588413510","doi":"https://doi.org/10.1145/3011141.3011178","mag":"2588413510"},"language":"en","primary_location":{"id":"doi:10.1145/3011141.3011178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3011141.3011178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","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/A5003843907","display_name":"Kazufumi Inafuku","orcid":"https://orcid.org/0000-0002-3122-3771"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazufumi Inafuku","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053021349","display_name":"Takayasu Fushimi","orcid":"https://orcid.org/0000-0003-3448-8182"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayasu Fushimi","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110339892","display_name":"Tetsuji Satoh","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuji Satoh","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003843907"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.442,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68474318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9664999842643738,"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/motif","display_name":"Motif (music)","score":0.842674970626831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043297290802002},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49099472165107727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44547513127326965},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.44122764468193054},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43722620606422424},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3610098361968994},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11680364608764648}],"concepts":[{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.842674970626831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043297290802002},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49099472165107727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44547513127326965},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44122764468193054},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43722620606422424},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3610098361968994},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11680364608764648},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3011141.3011178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3011141.3011178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327550","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W101836494","https://openalex.org/W1139185857","https://openalex.org/W1520003352","https://openalex.org/W1543794084","https://openalex.org/W1893639437","https://openalex.org/W1922358015","https://openalex.org/W1926744689","https://openalex.org/W1971421925","https://openalex.org/W1987097053","https://openalex.org/W2042281163","https://openalex.org/W2071949631","https://openalex.org/W2083809487","https://openalex.org/W2092268393","https://openalex.org/W2094908976","https://openalex.org/W2106603979","https://openalex.org/W2111094216","https://openalex.org/W2138621811","https://openalex.org/W2146938438","https://openalex.org/W2196959810","https://openalex.org/W3101637956","https://openalex.org/W3103926008","https://openalex.org/W6631296933"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W3170299350","https://openalex.org/W2368410102","https://openalex.org/W2605676258","https://openalex.org/W2368037387","https://openalex.org/W4388145910","https://openalex.org/W190186656","https://openalex.org/W2902352756","https://openalex.org/W2377079823","https://openalex.org/W2381570729"],"abstract_inverted_index":{"As":[0],"online":[1],"stores":[2],"continue":[3],"to":[4,27,135],"expand":[5],"their":[6],"businesses,":[7],"a":[8,21,48,61,72,76,82,89,152],"huge":[9],"number":[10,145],"of":[11,40,60,106,110,123,146,193,203,217,231,234],"customer":[12],"purchase":[13,20,41,54,77,215],"data":[14,34],"can":[15,35],"be":[16,36],"obtained.":[17],"When":[18],"users":[19,25],"product,":[22],"almost":[23],"all":[24,105,192],"tend":[26],"post":[28],"reviews":[29],"on":[30,57,200],"it.":[31,244],"Therefore":[32],"review":[33,66,225],"treated":[37],"as":[38],"propinquity":[39],"data.":[42,68],"In":[43,207],"this":[44],"paper,":[45],"we":[46,103,142,173,190,211,227],"propose":[47],"novel":[49],"method":[50,237],"that":[51,119,125],"extracts":[52],"typical":[53,166,214],"patterns":[55,183,216],"based":[56,199],"motif":[58,148,175,205],"analysis":[59],"directed":[62,73],"graph":[63,74,79],"constructed":[64],"from":[65,243],"history":[67,78],"We":[69],"first":[70],"construct":[71,174],"called":[75],"(PHG),":[80],"where":[81],"node":[83],"stands":[84],"for":[85,179],"an":[86],"item":[87,108],"and":[88,117,238],"directional":[90],"edge":[91,140],"is":[92,151],"added":[93],"between":[94],"successively":[95],"purchased":[96],"two":[97],"items":[98,124],"in":[99,155,186],"chronological":[100],"order.":[101],"Second":[102],"decompose":[104],"the":[107,129,144,164,194,201,204,208,213,229,240],"nodes":[109],"PHG":[111],"into":[112,196],"weakly":[113],"connected":[114],"components":[115],"(WCCs)":[116],"expect":[118],"each":[120,133,187,232],"WCC":[121],"consists":[122],"are":[126,168,184],"sold":[127],"by":[128],"same":[130],"store.":[131],"For":[132],"WCC,":[134],"extract":[136,212],"frequently":[137],"appearing":[138],"local":[139],"structures,":[141],"enumerate":[143],"3-node":[147],"patterns,":[149],"which":[150,177],"well-known":[153],"notion":[154],"complex":[156],"network":[157],"science.":[158],"These":[159],"only":[160],"express":[161],"theoretic":[162],"patterns;":[163],"actual":[165],"ones":[167],"slightly":[169],"more":[170],"complicated.":[171],"Thus,":[172],"vectors,":[176],"stand":[178],"how":[180],"many":[181],"individual":[182],"contained":[185],"WCC.":[188],"Finally,":[189],"divide":[191],"WCCs":[195],"K":[197],"clusters":[198],"similarity":[202],"vectors.":[206],"above":[209],"procedure,":[210],"users.":[218],"From":[219],"our":[220,235],"experimental":[221],"evaluation":[222],"using":[223],"real":[224],"dataset,":[226],"confirm":[228],"validity":[230],"step":[233],"proposed":[236],"discuss":[239],"results":[241],"obtained":[242]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}