{"id":"https://openalex.org/W2188078393","doi":"https://doi.org/10.1109/icmlc.2015.7340961","title":"Hewin: High expected weighted itemset mining in uncertain databases","display_name":"Hewin: High expected weighted itemset mining in uncertain databases","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2188078393","doi":"https://doi.org/10.1109/icmlc.2015.7340961","mag":"2188078393"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["School of Computer Science and Technology, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000962921","display_name":"Wensheng Gan","orcid":"https://orcid.org/0000-0002-5781-8116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wensheng Gan","raw_affiliation_strings":["School of Computer Science and Technology, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057105630","display_name":"Tzung\u2010Pei Hong","orcid":"https://orcid.org/0000-0001-7305-6492"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]},{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzung-Pei Hong","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, R.O.C","Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, R.O.C","institution_ids":["https://openalex.org/I142974352"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, R.O.C","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043399804","display_name":"Vincent S. Tseng","orcid":"https://orcid.org/0000-0002-4853-1594"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Vincent S. Tseng","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000640263"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7946,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81563783,"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":"439","last_page":"444"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9934999942779541,"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":0.9678999781608582,"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/computer-science","display_name":"Computer science","score":0.6604493856430054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6075271964073181},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5707876682281494},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5419659614562988},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5092388391494751},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4680613577365875},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.4671815037727356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23861879110336304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604493856430054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6075271964073181},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5707876682281494},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5419659614562988},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5092388391494751},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4680613577365875},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.4671815037727356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23861879110336304},{"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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W202330906","https://openalex.org/W1506285740","https://openalex.org/W1979535605","https://openalex.org/W2019113023","https://openalex.org/W2041361017","https://openalex.org/W2044074944","https://openalex.org/W2052296830","https://openalex.org/W2052793325","https://openalex.org/W2057858164","https://openalex.org/W2098268836","https://openalex.org/W2110796598","https://openalex.org/W2115482638","https://openalex.org/W2137536943","https://openalex.org/W2153028052","https://openalex.org/W6630198464"],"related_works":["https://openalex.org/W315394019","https://openalex.org/W2923398117","https://openalex.org/W4309585848","https://openalex.org/W2265383332","https://openalex.org/W4328130279","https://openalex.org/W2105009749","https://openalex.org/W4299387245","https://openalex.org/W583262921","https://openalex.org/W2036721792","https://openalex.org/W2002342158"],"abstract_inverted_index":{"In":[0,45],"recent":[1],"years,":[2],"many":[3],"algorithms":[4,28],"have":[5,29],"been":[6],"proposed":[7,132],"to":[8,33,59,85,108],"discover":[9,34],"frequent":[10,18],"itemsets":[11,19,55,91],"over":[12,75],"uncertain":[13,77],"databases":[14],"or":[15],"mine":[16],"weighted-based":[17],"from":[20],"precisely":[21],"binary":[22],"databases.":[23],"None":[24],"of":[25,130],"the":[26,69,87,95,110,128,131],"above":[27],"been,":[30],"however,":[31],"designed":[32,58],"interesting":[35],"patterns":[36],"by":[37,66],"considering":[38,67],"both":[39,68],"weight":[40,70],"and":[41,63,71,124],"data":[42],"uncertainty":[43],"constraints.":[44],"this":[46],"paper,":[47],"a":[48],"novel":[49],"knowledge":[50],"called":[51],"high":[52,88,97],"expected":[53,99],"weighted":[54,100],"(HEWIs)":[56],"is":[57,83],"reveal":[60],"more":[61],"useful":[62],"meaningful":[64],"information":[65],"existential":[72],"probability":[73],"constraints":[74],"an":[76],"database.":[78],"A":[79],"two-phase":[80],"HEWI-UTP":[81],"algorithm":[82],"developed":[84,96],"overestimate":[86],"upper-bound":[89,98],"expected-weighted":[90],"(HUBEWIs)":[92],"based":[93],"on":[94,121],"downward":[101],"closure":[102],"property,":[103],"which":[104],"can":[105],"be":[106],"used":[107],"reduce":[109],"search":[111],"space":[112],"for":[113],"discovering":[114],"HEWIs.":[115],"An":[116],"extensive":[117],"experimental":[118],"study":[119],"carried":[120],"several":[122],"real-life":[123],"synthetic":[125],"datasets":[126],"shows":[127],"performance":[129],"algorithm.":[133]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}