{"id":"https://openalex.org/W1975486109","doi":"https://doi.org/10.1145/1352793.1352839","title":"Efficient algorithms for incremental utility mining","display_name":"Efficient algorithms for incremental utility mining","publication_year":2008,"publication_date":"2008-01-31","ids":{"openalex":"https://openalex.org/W1975486109","doi":"https://doi.org/10.1145/1352793.1352839","mag":"1975486109"},"language":"en","primary_location":{"id":"doi:10.1145/1352793.1352839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1352793.1352839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd international conference on Ubiquitous information management and communication","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/A5074741120","display_name":"Jieh-Shan Yeh","orcid":null},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jieh-Shan Yeh","raw_affiliation_strings":["Providence University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109867725","display_name":"Chih-Yang Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Yang Chang","raw_affiliation_strings":["Providence University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109940439","display_name":"Yao-Te Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao-Te Wang","raw_affiliation_strings":["Providence University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074741120"],"corresponding_institution_ids":["https://openalex.org/I177918364"],"apc_list":null,"apc_paid":null,"fwci":2.624,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.91505801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"217"},"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":0.9944999814033508,"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/T11106","display_name":"Data Management and Algorithms","score":0.9833999872207642,"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/data-mining","display_name":"Data mining","score":0.7891750335693359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7449634075164795},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6671866178512573},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6418212652206421},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4775753319263458},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1775011122226715}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7891750335693359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7449634075164795},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6671866178512573},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6418212652206421},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4775753319263458},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1775011122226715}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1352793.1352839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1352793.1352839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd international conference on Ubiquitous information management and communication","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.563.715","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.563.715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1.pu.edu.tw/~jsyeh/profile/publication/2008/[YCW2008] Efficient Algorithms for Incremental Utility Mining (ICUIMC2008).pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W80315153","https://openalex.org/W201801013","https://openalex.org/W1484413656","https://openalex.org/W1485058668","https://openalex.org/W1506285740","https://openalex.org/W1538285186","https://openalex.org/W1597161471","https://openalex.org/W2011797273","https://openalex.org/W2030969394","https://openalex.org/W2039902065","https://openalex.org/W2052360255","https://openalex.org/W2093456341","https://openalex.org/W2107934556","https://openalex.org/W2114624736","https://openalex.org/W2115274736","https://openalex.org/W2125352627","https://openalex.org/W2138984534","https://openalex.org/W2145801176","https://openalex.org/W2162261133"],"related_works":["https://openalex.org/W2113309085","https://openalex.org/W2410549043","https://openalex.org/W2133788718","https://openalex.org/W2394010168","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W3014936414","https://openalex.org/W2065998343"],"abstract_inverted_index":{"Temporal":[0],"data":[1,15],"mining":[2,22,40,49,61],"is":[3,42],"the":[4,18,26,37,58],"activity":[5],"of":[6],"finding":[7],"interesting":[8],"correlations":[9],"or":[10],"patterns":[11],"in":[12,70],"large":[13],"temporal":[14,38,46,67],"sets.":[16],"On":[17],"other":[19],"hand,":[20],"utility":[21,39,51,60,68],"aims":[23],"at":[24],"identifying":[25],"itemsets":[27,69],"with":[28],"high":[29,66],"utilities.":[30],"In":[31,53],"2006,":[32],"Tseng":[33],"et":[34],"al.":[35],"introduced":[36],"which":[41,62],"extended":[43],"from":[44],"both":[45,101],"association":[47],"rule":[48],"and":[50,87],"mining.":[52],"this":[54],"study,":[55],"we":[56],"investigated":[57],"incremental":[59,77],"can":[63],"identify":[64],"all":[65],"a":[71],"specified":[72],"time":[73],"period":[74],"on":[75],"an":[76],"transaction":[78],"database.":[79],"Two":[80],"efficient":[81],"algorithms,":[82],"Incremental":[83,89],"Utility":[84,90],"Mining":[85,91],"(IUM)":[86],"Fast":[88],"(FIUM),":[92],"were":[93],"proposed.":[94],"The":[95],"experimental":[96],"results":[97],"also":[98],"showed":[99],"that":[100],"algorithms":[102],"are":[103],"efficient.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}