{"id":"https://openalex.org/W2076335547","doi":"https://doi.org/10.1109/fskd.2010.5569203","title":"Mining e-shoppers' purchase rules based on k-trees sequential pattern","display_name":"Mining e-shoppers' purchase rules based on k-trees sequential pattern","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2076335547","doi":"https://doi.org/10.1109/fskd.2010.5569203","mag":"2076335547"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569203","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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/A5101614043","display_name":"Chong Wang","orcid":"https://orcid.org/0000-0001-6343-3442"},"institutions":[{"id":"https://openalex.org/I2801481043","display_name":"Jiangsu Ocean University","ror":"https://ror.org/031zps173","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801481043"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chong Wang","raw_affiliation_strings":["Business School, Huaihai Institute of Technology, Lianyungang, China","Business School, Huaihai Institute of Technology, Lianyungang, 222000, China"],"affiliations":[{"raw_affiliation_string":"Business School, Huaihai Institute of Technology, Lianyungang, China","institution_ids":["https://openalex.org/I2801481043"]},{"raw_affiliation_string":"Business School, Huaihai Institute of Technology, Lianyungang, 222000, China","institution_ids":["https://openalex.org/I2801481043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414723","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0003-1885-594X"},"institutions":[{"id":"https://openalex.org/I2801481043","display_name":"Jiangsu Ocean University","ror":"https://ror.org/031zps173","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801481043"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["Business School, Huaihai Institute of Technology, Lianyungang, China","Library, Huaihai Institute of Technology, Lianyungang, 222000, China"],"affiliations":[{"raw_affiliation_string":"Business School, Huaihai Institute of Technology, Lianyungang, China","institution_ids":["https://openalex.org/I2801481043"]},{"raw_affiliation_string":"Library, Huaihai Institute of Technology, Lianyungang, 222000, China","institution_ids":["https://openalex.org/I2801481043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006041868","display_name":"Yanqing Wang","orcid":"https://orcid.org/0000-0002-5961-0482"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqing Wang","raw_affiliation_strings":["School of Management, Harbin Institute of Technology, Harbin, China","School of management, Harbin Institute of Technology, 150001, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of management, Harbin Institute of Technology, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101614043"],"corresponding_institution_ids":["https://openalex.org/I2801481043"],"apc_list":null,"apc_paid":null,"fwci":0.4609,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7152231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1450","last_page":"1454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9884999990463257,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/database-transaction","display_name":"Database transaction","score":0.7307862043380737},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6925089359283447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6898290514945984},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6532621383666992},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5753923058509827},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.5637450218200684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5456053614616394},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5060605406761169},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23133939504623413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13475781679153442}],"concepts":[{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.7307862043380737},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6925089359283447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898290514945984},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6532621383666992},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5753923058509827},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5637450218200684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5456053614616394},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5060605406761169},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23133939504623413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13475781679153442},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2010.5569203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569203","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1543335880","https://openalex.org/W1761209415","https://openalex.org/W1993796605","https://openalex.org/W1996926811","https://openalex.org/W2012781445","https://openalex.org/W2024010314","https://openalex.org/W2030766291","https://openalex.org/W2039902065","https://openalex.org/W2058956948","https://openalex.org/W2063536958","https://openalex.org/W2123140957","https://openalex.org/W2136593687","https://openalex.org/W2144903778","https://openalex.org/W2148968814","https://openalex.org/W2153028052","https://openalex.org/W2161591307","https://openalex.org/W2162261133","https://openalex.org/W2166559705","https://openalex.org/W2168196587","https://openalex.org/W4231101924","https://openalex.org/W6628750762","https://openalex.org/W6678502811"],"related_works":["https://openalex.org/W2390900636","https://openalex.org/W4390176295","https://openalex.org/W2112284452","https://openalex.org/W4285106477","https://openalex.org/W2158541003","https://openalex.org/W3085798047","https://openalex.org/W2374269412","https://openalex.org/W2348457856","https://openalex.org/W371123309","https://openalex.org/W2136066520"],"abstract_inverted_index":{"With":[0],"the":[1,30,78,88,127,135,156],"rapid":[2],"development":[3],"of":[4,46,64,80,93,95,129,140,142],"online":[5],"shopping,":[6],"electronic":[7],"commerce":[8],"has":[9,41],"offered":[10],"a":[11,43,59,91,99,105,138,146,160],"new":[12,157],"channel":[13],"for":[14,21,49,86,110,163],"instant":[15],"on-line":[16,24],"shopping.":[17],"It":[18],"is":[19,69,84,152],"necessary":[20],"company":[22],"to":[23,27,32,71,159],"one-to-one":[25],"market":[26],"e-shoppers.":[28,164],"Therefore,":[29],"ability":[31],"predict":[33],"e-shoppers'":[34],"purchase":[35],"behavior":[36],"basing":[37],"on":[38],"data":[39,72,107],"mining":[40,68,73,108],"become":[42],"key":[44],"source":[45],"competitive":[47],"advantage":[48],"company.":[50],"Frequently":[51],"occurring":[52,130],"sequential":[53],"patterns,":[54,131],"identified":[55],"in":[56,58,98,145],"sequences":[57],"large":[60],"dataset,":[61],"comprise":[62],"lists":[63],"subsequences.":[65],"Sequential":[66],"pattern":[67,97,144],"crucial":[70],"domains.":[74],"In":[75],"this":[76],"paper,":[77],"concept":[79],"sequence":[81],"close":[82],"level":[83],"proposed":[85],"counting":[87],"distance":[89,136],"between":[90,137],"pair":[92,139],"items":[94,141],"k-trees":[96,143],"transaction":[100,147],"sequence.":[101,148],"This":[102],"paper":[103],"presents":[104],"novel":[106],"approach":[109],"exploring":[111],"hierarchical":[112],"tree":[113],"structures,":[114],"which":[115],"includes":[116],"algorithm":[117,120],"1":[118],"and":[119],"2.":[121],"The":[122,149],"approache":[123,158],"not":[124],"only":[125],"counts":[126],"frequency":[128],"but":[132],"also":[133],"addresses":[134],"better":[150],"result":[151],"achieved":[153],"by":[154],"applying":[155],"given":[161],"database":[162]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}