{"id":"https://openalex.org/W2972085210","doi":"https://doi.org/10.1109/ccoms.2019.8821745","title":"Transaction Item Embedding by Maximizing A Joint Probability","display_name":"Transaction Item Embedding by Maximizing A Joint Probability","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2972085210","doi":"https://doi.org/10.1109/ccoms.2019.8821745","mag":"2972085210"},"language":"en","primary_location":{"id":"doi:10.1109/ccoms.2019.8821745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821745","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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/A5035693517","display_name":"Yutaro Ueno","orcid":null},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yutaro Ueno","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068513079","display_name":"Masaomi Kimura","orcid":"https://orcid.org/0000-0003-3991-4259"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaomi Kimura","raw_affiliation_strings":["Department of Computer Science and Engineering, Shibaura Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035693517"],"corresponding_institution_ids":["https://openalex.org/I171481255"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17153465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"5","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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":1.0,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9876000285148621,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.7706541419029236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7623884677886963},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.6971705555915833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6774165034294128},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6209154725074768},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5309044122695923},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4860542118549347},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4809531271457672},{"id":"https://openalex.org/keywords/online-transaction-processing","display_name":"Online transaction processing","score":0.4626409113407135},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.4368836283683777},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2365785837173462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23467668890953064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13134640455245972},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0779384970664978}],"concepts":[{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.7706541419029236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623884677886963},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.6971705555915833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6774165034294128},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6209154725074768},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5309044122695923},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4860542118549347},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4809531271457672},{"id":"https://openalex.org/C191087605","wikidata":"https://www.wikidata.org/wiki/Q1501395","display_name":"Online transaction processing","level":4,"score":0.4626409113407135},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.4368836283683777},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2365785837173462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23467668890953064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13134640455245972},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0779384970664978},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccoms.2019.8821745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821745","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1585646276","https://openalex.org/W1614298861","https://openalex.org/W2037965136","https://openalex.org/W2070702929","https://openalex.org/W2108560469","https://openalex.org/W2117169652","https://openalex.org/W2126725946","https://openalex.org/W2141599568","https://openalex.org/W2159257592","https://openalex.org/W2166559705","https://openalex.org/W2808005652","https://openalex.org/W2950133940","https://openalex.org/W2964341035","https://openalex.org/W4252403066","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2143226912","https://openalex.org/W2158759608","https://openalex.org/W2349862564","https://openalex.org/W2155541789","https://openalex.org/W1644029924","https://openalex.org/W2363110500","https://openalex.org/W2371295991","https://openalex.org/W2372897440","https://openalex.org/W2125608776","https://openalex.org/W2403667029"],"abstract_inverted_index":{"Frequent":[0],"pattern":[1,28],"mining":[2,10,29],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,44],"the":[8,23,78],"data":[9,37,50,82],"field.":[11],"This":[12],"topic":[13],"has":[14],"been":[15],"studied":[16],"for":[17],"a":[18,45,63,71,84],"long":[19],"time.":[20],"Most":[21],"of":[22,48],"method":[24,64],"which":[25,89],"finds":[26],"frequent":[27,42],"is":[30,38,51,90],"high":[31],"computational":[32],"cost.":[33],"In":[34,58],"general,":[35],"transaction":[36,49,56,81],"sparse.":[39],"Therefore,":[40],"searching":[41,54],"itemsets":[43],"dense":[46],"part":[47],"better":[52],"than":[53],"all":[55],"data.":[57],"this":[59],"paper,":[60],"we":[61],"propose":[62],"to":[65,70],"embed":[66],"items":[67],"from":[68],"transactions":[69],"low":[72,85],"dimensional":[73,86],"vector":[74,87],"space.":[75],"We":[76],"show":[77],"relationship":[79],"between":[80],"and":[83],"space":[88],"created":[91],"by":[92],"our":[93],"method.":[94]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
