{"id":"https://openalex.org/W4391026416","doi":"https://doi.org/10.1145/3639827","title":"TaSPM: Targeted Sequential Pattern Mining","display_name":"TaSPM: Targeted Sequential Pattern Mining","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4391026416","doi":"https://doi.org/10.1145/3639827"},"language":"en","primary_location":{"id":"doi:10.1145/3639827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639827","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5048824795","display_name":"Gengsen Huang","orcid":"https://orcid.org/0000-0001-9780-8185"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengsen Huang","raw_affiliation_strings":["Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9780-8185","affiliations":[{"raw_affiliation_string":"Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000962921","display_name":"Wensheng Gan","orcid":"https://orcid.org/0000-0002-5781-8116"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Gan","raw_affiliation_strings":["Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5781-8116","affiliations":[{"raw_affiliation_string":"Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0002-3491-5968","affiliations":[{"raw_affiliation_string":"University of Illinois Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.3498,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.98927437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"18","issue":"5","first_page":"1","last_page":"18"},"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":0.9854999780654907,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9818000197410583,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8123533725738525},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7955999374389648},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.716810941696167},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.648399829864502},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5669146180152893},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5194292068481445},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4966781735420227},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3749435842037201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33117741346359253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07903802394866943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123533725738525},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7955999374389648},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.716810941696167},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.648399829864502},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5669146180152893},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5194292068481445},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4966781735420227},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3749435842037201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33117741346359253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07903802394866943},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639827","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4225570486","display_name":null,"funder_award_id":"2024A04J9971","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4460898826","display_name":null,"funder_award_id":"62272196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5531638603","display_name":null,"funder_award_id":"62272196, and 62002136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7022301653","display_name":null,"funder_award_id":"2022A1515011861","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8904899382","display_name":null,"funder_award_id":"62002136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W50012472","https://openalex.org/W132885894","https://openalex.org/W138108058","https://openalex.org/W326699862","https://openalex.org/W981854434","https://openalex.org/W1488856884","https://openalex.org/W1556242451","https://openalex.org/W1562487176","https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W1771395304","https://openalex.org/W1800739094","https://openalex.org/W1976584200","https://openalex.org/W1985716338","https://openalex.org/W2068383400","https://openalex.org/W2076424561","https://openalex.org/W2077639599","https://openalex.org/W2096126105","https://openalex.org/W2106438156","https://openalex.org/W2112971308","https://openalex.org/W2120934516","https://openalex.org/W2122468393","https://openalex.org/W2147694185","https://openalex.org/W2147701033","https://openalex.org/W2161591307","https://openalex.org/W2272376083","https://openalex.org/W2360114527","https://openalex.org/W2758905143","https://openalex.org/W2773148343","https://openalex.org/W2803163798","https://openalex.org/W2804685987","https://openalex.org/W2810064562","https://openalex.org/W2913056274","https://openalex.org/W2937863287","https://openalex.org/W2973857687","https://openalex.org/W3007811135","https://openalex.org/W3013769259","https://openalex.org/W3021026366","https://openalex.org/W3095461723","https://openalex.org/W3102927519","https://openalex.org/W3126907377","https://openalex.org/W3147102084","https://openalex.org/W3161798535","https://openalex.org/W3197161527","https://openalex.org/W4205996042","https://openalex.org/W4254829975"],"related_works":["https://openalex.org/W2382453007","https://openalex.org/W2136066520","https://openalex.org/W2109246626","https://openalex.org/W2186344989","https://openalex.org/W2479652880","https://openalex.org/W2114934675","https://openalex.org/W3008667352","https://openalex.org/W2307029566","https://openalex.org/W807005383","https://openalex.org/W2187554351"],"abstract_inverted_index":{"Sequential":[0],"pattern":[1,12,96,148],"mining":[2,97,132,177],"(SPM)":[3],"is":[4,106],"an":[5],"important":[6],"technique":[7],"in":[8,18,61,130,140],"the":[9,41,49,57,91,110,131,165,174],"field":[10],"of":[11,40,51,59,93,112],"mining,":[13],"which":[14],"has":[15],"many":[16,21],"applications":[17],"reality.":[19],"Although":[20],"efficient":[22],"SPM":[23,167],"algorithms":[24,67],"have":[25],"been":[26],"proposed,":[27],"there":[28],"are":[29,73,138],"few":[30],"studies":[31],"that":[32,173],"can":[33,45,79,145,180],"focus":[34],"on":[35,75,114,160],"targeted":[36,70,94,176],"tasks.":[37],"Targeted":[38],"querying":[39,72],"concerned":[42],"sequential":[43,95],"patterns":[44,52],"not":[46,80],"only":[47],"reduce":[48,127],"number":[50],"generated,":[53],"but":[54],"also":[55],"increase":[56],"efficiency":[58,111],"users":[60],"performing":[62],"related":[63],"analysis.":[64],"The":[65],"current":[66],"available":[68],"for":[69],"sequence":[71,119],"based":[74],"specific":[76],"scenarios":[77],"and":[78,98,117,142,151,185],"be":[81],"extended":[82],"to":[83,108,126,163],"other":[84],"applications.":[85],"In":[86],"this":[87],"article,":[88],"we":[89,121,156],"formulate":[90],"problem":[92],"propose":[99,122],"a":[100],"generic":[101],"algorithm,":[102],"namely":[103],"TaSPM.":[104,170],"What":[105],"more,":[107],"improve":[109],"TaSPM":[113,144,179],"large-scale":[115],"datasets":[116,162],"multiple-item-based":[118],"datasets,":[120],"several":[123],"pruning":[124,136],"strategies":[125,137],"meaningless":[128],"operations":[129],"process.":[133],"Totally":[134],"four":[135],"designed":[139],"TaSPM,":[141],"hence":[143],"terminate":[146],"unnecessary":[147],"extensions":[149],"quickly":[150],"achieve":[152,181],"better":[153],"performance.":[154],"Finally,":[155],"conducted":[157],"extensive":[158],"experiments":[159],"different":[161],"compare":[164],"baseline":[166],"algorithm":[168,178],"with":[169],"Experiments":[171],"show":[172],"novel":[175],"faster":[182],"running":[183],"time":[184],"less":[186],"memory":[187],"consumption.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}