{"id":"https://openalex.org/W2979517978","doi":"https://doi.org/10.1109/tkde.2019.2945573","title":"On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets","display_name":"On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets","publication_year":2019,"publication_date":"2019-10-07","ids":{"openalex":"https://openalex.org/W2979517978","doi":"https://doi.org/10.1109/tkde.2019.2945573","mag":"2979517978"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2945573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2945573","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5047996342","display_name":"Zahid Halim","orcid":"https://orcid.org/0000-0003-3094-3483"},"institutions":[{"id":"https://openalex.org/I5400463","display_name":"Ghulam Ishaq Khan Institute of Engineering Sciences and Technology","ror":"https://ror.org/01sb6ek09","country_code":"PK","type":"education","lineage":["https://openalex.org/I5400463"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Zahid Halim","raw_affiliation_strings":["Machine Intelligence Research Group (MInG), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Research Group (MInG), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan","institution_ids":["https://openalex.org/I5400463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025872680","display_name":"Omer Ali","orcid":"https://orcid.org/0000-0002-0114-0457"},"institutions":[{"id":"https://openalex.org/I5400463","display_name":"Ghulam Ishaq Khan Institute of Engineering Sciences and Technology","ror":"https://ror.org/01sb6ek09","country_code":"PK","type":"education","lineage":["https://openalex.org/I5400463"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Omer Ali","raw_affiliation_strings":["Machine Intelligence Research Group (MInG), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Research Group (MInG), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan","institution_ids":["https://openalex.org/I5400463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030593091","display_name":"Muhammad Ghufran Khan","orcid":"https://orcid.org/0000-0001-9063-6464"},"institutions":[{"id":"https://openalex.org/I5400463","display_name":"Ghulam Ishaq Khan Institute of Engineering Sciences and Technology","ror":"https://ror.org/01sb6ek09","country_code":"PK","type":"education","lineage":["https://openalex.org/I5400463"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Ghufran Khan","raw_affiliation_strings":["Machine Intelligence Research Group (MInG), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Research Group (MInG), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan","institution_ids":["https://openalex.org/I5400463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047996342"],"corresponding_institution_ids":["https://openalex.org/I5400463"],"apc_list":null,"apc_paid":null,"fwci":9.8354,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.98073522,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":"4","first_page":"1674","last_page":"1691"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9549000263214111,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7971919775009155},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6888554692268372},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5587493181228638},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5378353595733643},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47199323773384094},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4406145215034485},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4278546869754791},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27511662244796753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7971919775009155},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6888554692268372},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5587493181228638},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5378353595733643},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47199323773384094},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4406145215034485},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4278546869754791},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27511662244796753},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2945573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2945573","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W50012472","https://openalex.org/W109848927","https://openalex.org/W110175884","https://openalex.org/W153099009","https://openalex.org/W194665128","https://openalex.org/W841472321","https://openalex.org/W1203759442","https://openalex.org/W1484413656","https://openalex.org/W1553696291","https://openalex.org/W1575633131","https://openalex.org/W1588921741","https://openalex.org/W1781484016","https://openalex.org/W1977055639","https://openalex.org/W1984071573","https://openalex.org/W1999848435","https://openalex.org/W2004348896","https://openalex.org/W2005699506","https://openalex.org/W2007259720","https://openalex.org/W2013525544","https://openalex.org/W2023511088","https://openalex.org/W2025122101","https://openalex.org/W2027447481","https://openalex.org/W2039324668","https://openalex.org/W2041569358","https://openalex.org/W2044074944","https://openalex.org/W2056482097","https://openalex.org/W2056646133","https://openalex.org/W2064853889","https://openalex.org/W2071666497","https://openalex.org/W2079931838","https://openalex.org/W2080267935","https://openalex.org/W2091478944","https://openalex.org/W2106021426","https://openalex.org/W2107207062","https://openalex.org/W2108457969","https://openalex.org/W2108560469","https://openalex.org/W2110796598","https://openalex.org/W2125231721","https://openalex.org/W2126046032","https://openalex.org/W2133378824","https://openalex.org/W2137888088","https://openalex.org/W2138660495","https://openalex.org/W2143600305","https://openalex.org/W2151953639","https://openalex.org/W2156577645","https://openalex.org/W2162481448","https://openalex.org/W2164197909","https://openalex.org/W2171268326","https://openalex.org/W2218577812","https://openalex.org/W2226858016","https://openalex.org/W2247396692","https://openalex.org/W2270160110","https://openalex.org/W2272376083","https://openalex.org/W2277129084","https://openalex.org/W2284443313","https://openalex.org/W2291052887","https://openalex.org/W2324670097","https://openalex.org/W2329481242","https://openalex.org/W2400601678","https://openalex.org/W2405618138","https://openalex.org/W2405635203","https://openalex.org/W2427239312","https://openalex.org/W2790530433","https://openalex.org/W2793815497","https://openalex.org/W2803952841","https://openalex.org/W2886707573","https://openalex.org/W2890591053","https://openalex.org/W2910291971","https://openalex.org/W4285719527","https://openalex.org/W6604443778","https://openalex.org/W6606328472","https://openalex.org/W6607847856","https://openalex.org/W6628750762","https://openalex.org/W6633402183","https://openalex.org/W6675789156","https://openalex.org/W6676115149","https://openalex.org/W6676223305","https://openalex.org/W6684175947","https://openalex.org/W6688861069","https://openalex.org/W6689177654","https://openalex.org/W6713884896"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2086519370","https://openalex.org/W2028665553","https://openalex.org/W2087343574","https://openalex.org/W3115442681","https://openalex.org/W2391000461","https://openalex.org/W4386112722"],"abstract_inverted_index":{"Frequent":[0,49],"itemsets":[1,60],"mining":[2,13,52,56,88,147],"is":[3,33,53,133],"an":[4,24,123],"active":[5],"research":[6],"problem":[7],"in":[8,20,27,61,119,163],"the":[9,18,80,107,117,127,130,140,156],"domain":[10],"of":[11,109,116,165],"data":[12,28,55],"and":[14,23],"knowledge":[15],"discovery.":[16],"With":[17],"advances":[19],"database":[21,64,118],"technology":[22],"exponential":[25],"increase":[26],"to":[29,58],"be":[30],"stored,":[31],"there":[32],"a":[34,54,62,69,93,98],"need":[35],"for":[36,87,96],"efficient":[37,84],"approaches":[38],"that":[39,125,155],"can":[40],"quickly":[41],"extract":[42],"useful":[43],"information":[44,112],"from":[45,129],"such":[46],"large":[47],"datasets.":[48,152],"Itemsets":[50],"(FIs)":[51],"task":[57],"find":[59],"transactional":[63,100],"which":[65],"occur":[66],"together":[67],"above":[68],"certain":[70],"frequency.":[71],"Finding":[72],"these":[73],"FIs":[74,128,146],"usually":[75],"requires":[76],"multiple":[77],"passes":[78],"over":[79],"databases;":[81],"therefore,":[82],"making":[83],"algorithms":[85],"crucial":[86],"FIs.":[89],"This":[90],"work":[91],"presents":[92],"graph-based":[94,104,131],"approach":[95,142,158],"representing":[97],"complete":[99],"database.":[101],"The":[102],"proposed":[103,141,157],"representation":[105],"enables":[106],"storing":[108],"all":[110],"relevant":[111],"(for":[113],"extracting":[114],"FIs)":[115],"one":[120],"pass.":[121],"Later,":[122],"algorithm":[124],"extracts":[126],"structure":[132],"presented.":[134],"Experimental":[135],"results":[136],"are":[137],"reported":[138],"comparing":[139],"with":[143],"17":[144],"related":[145],"methods":[148],"using":[149],"six":[150],"benchmark":[151],"Results":[153],"show":[154],"performs":[159],"better":[160],"than":[161],"others":[162],"terms":[164],"time.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
