{"id":"https://openalex.org/W2075138046","doi":"https://doi.org/10.4304/jsw.9.9.2342-2347","title":"An Algorithm of Top-k High Utility Itemsets Mining over Data Stream","display_name":"An Algorithm of Top-k High Utility Itemsets Mining over Data Stream","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2075138046","doi":"https://doi.org/10.4304/jsw.9.9.2342-2347","mag":"2075138046"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.9.9.2342-2347","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.9.2342-2347","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5035331464","display_name":"Tianjun Lu","orcid":"https://orcid.org/0000-0001-8991-4578"},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjun Lu","raw_affiliation_strings":["School of Software, Nanyang Institute of Technology, Nanyang, Henan 473000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanyang Institute of Technology, Nanyang, Henan 473000","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101612370","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-8716-8943"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Innovation and Experiment, Dalian University of Technology, Liaoning 116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Innovation and Experiment, Dalian University of Technology, Liaoning 116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100671298","display_name":"Le Wang","orcid":"https://orcid.org/0000-0002-3320-0848"},"institutions":[{"id":"https://openalex.org/I4210088000","display_name":"Ningbo University of Finance & Economics","ror":"https://ror.org/0085x3f43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210088000"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Wang","raw_affiliation_strings":["School of Information Engineering, Ningbo Dahongying University, Ningbo, Zhejiang, 315175"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Ningbo Dahongying University, Ningbo, Zhejiang, 315175","institution_ids":["https://openalex.org/I4210088000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1019,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94354102,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"9","first_page":null,"last_page":null},"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":0.9922999739646912,"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/T11719","display_name":"Data Quality and Management","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9177049398422241},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6196351051330566},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6170852184295654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41799771785736084},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.048920005559921265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9177049398422241},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6196351051330566},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6170852184295654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41799771785736084},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.048920005559921265}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.9.9.2342-2347","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.9.2342-2347","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/W1968259950","https://openalex.org/W2049785083","https://openalex.org/W2076404872","https://openalex.org/W2114423174","https://openalex.org/W2123080227","https://openalex.org/W2125352627","https://openalex.org/W2131273865","https://openalex.org/W2143428105","https://openalex.org/W2151028259","https://openalex.org/W2155769706","https://openalex.org/W2157169143","https://openalex.org/W2161637667","https://openalex.org/W2162214498","https://openalex.org/W4240165335","https://openalex.org/W6679253303"],"related_works":["https://openalex.org/W2106570241","https://openalex.org/W2888412392","https://openalex.org/W1972053133","https://openalex.org/W2560076495","https://openalex.org/W2353098443","https://openalex.org/W2379474341","https://openalex.org/W2000311527","https://openalex.org/W2525035922","https://openalex.org/W1991704213","https://openalex.org/W2801575137"],"abstract_inverted_index":{"Existing":[0],"top-k":[1,58],"high":[2],"utility":[3,77,89],"itemset":[4],"(HUI)":[5],"mining":[6,13,44,60,101],"algorithms":[7,116],"generate":[8],"candidate":[9],"itemsets":[10],"in":[11,118],"the":[12,25,40,75,93,100,125],"process;":[14],"their":[15],"time":[16,120,126],"&":[17],"space":[18,122],"performance":[19,41,127],"might":[20],"be":[21],"severely":[22],"affected":[23],"when":[24,35],"dataset":[26],"is":[27,46],"large":[28],"or":[29],"contains":[30],"many":[31],"long":[32],"transactions;":[33],"and":[34,121],"applied":[36],"to":[37,79,97],"data":[38,68],"streams,":[39],"of":[42,69,88,132],"corresponding":[43],"algorithm":[45,61],"especially":[47,124],"crucial.":[48],"To":[49],"address":[50],"this":[51],"issue,":[52],"propose":[53],"a":[54,80],"sliding":[55],"window":[56,71],"based":[57],"HUIs":[59],"TOPK-SW;":[62],"it":[63],"first":[64],"stores":[65],"each":[66],"batch":[67],"current":[70],"as":[72,74,96],"well":[73],"items'":[76],"information":[78],"tree":[81],"called":[82],"HUI-Tree,":[83],"which":[84],"ensures":[85],"effective":[86],"retrieval":[87],"values":[90],"without":[91],"re-scan":[92],"dataset,":[94],"so":[95],"efficiently":[98],"improve":[99],"performance.":[102],"TOPK-SW":[103,113],"was":[104],"tested":[105],"on":[106],"4":[107],"classical":[108],"datasets;":[109],"results":[110],"show":[111],"that":[112],"outperforms":[114],"existing":[115],"significantly":[117],"both":[119],"efficiency,":[123],"improves":[128],"over":[129],"1":[130],"order":[131],"magnitude.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
