{"id":"https://openalex.org/W4285805267","doi":"https://doi.org/10.1145/3520304.3534025","title":"Genetic algorithm cleaning in sequential data mining","display_name":"Genetic algorithm cleaning in sequential data mining","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4285805267","doi":"https://doi.org/10.1145/3520304.3534025"},"language":"en","primary_location":{"id":"doi:10.1145/3520304.3534025","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3534025","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091638259","display_name":"Kok Cheng Tan","orcid":"https://orcid.org/0000-0001-6772-3906"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kok Cheng Tan","raw_affiliation_strings":["University of South Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Florida","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071988852","display_name":"Daniel Zantedeschi","orcid":"https://orcid.org/0000-0001-6241-9809"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Zantedeschi","raw_affiliation_strings":["University of South Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Florida","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090188442","display_name":"Amruth N. Kumar","orcid":"https://orcid.org/0000-0002-1951-3995"},"institutions":[{"id":"https://openalex.org/I171851574","display_name":"Ramapo College","ror":"https://ror.org/03s2x9d90","country_code":"US","type":"education","lineage":["https://openalex.org/I171851574"]},{"id":"https://openalex.org/I64281891","display_name":"College of New Jersey","ror":"https://ror.org/02nx5r318","country_code":"US","type":"education","lineage":["https://openalex.org/I64281891"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amruth Kumar","raw_affiliation_strings":["Ramapo College of New Jersey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ramapo College of New Jersey","institution_ids":["https://openalex.org/I171851574","https://openalex.org/I64281891"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113459736","display_name":"Alessio Gaspar","orcid":"https://orcid.org/0000-0003-3206-7093"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessio Gaspar","raw_affiliation_strings":["University of South Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Florida","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5025,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6118979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2330","last_page":"2333"},"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/T11719","display_name":"Data Quality and Management","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9975000023841858,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8783177137374878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7451322078704834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6778543591499329},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.6530493497848511},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5850096940994263},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5451821088790894},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.46036282181739807},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4407099485397339},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4280991554260254},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41379866003990173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4004862308502197},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.33266979455947876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3313096761703491},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07799074053764343}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8783177137374878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451322078704834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6778543591499329},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.6530493497848511},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5850096940994263},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5451821088790894},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.46036282181739807},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4407099485397339},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4280991554260254},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41379866003990173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4004862308502197},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.33266979455947876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3313096761703491},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07799074053764343},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3520304.3534025","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3534025","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1948664808","https://openalex.org/W2124316743","https://openalex.org/W2164456230","https://openalex.org/W2247055060","https://openalex.org/W2360114527","https://openalex.org/W2437617937","https://openalex.org/W2605081377","https://openalex.org/W2789147155"],"related_works":["https://openalex.org/W3088133960","https://openalex.org/W3144143113","https://openalex.org/W2393707058","https://openalex.org/W3022637481","https://openalex.org/W3174322327","https://openalex.org/W2170078080","https://openalex.org/W2596632494","https://openalex.org/W4312412183","https://openalex.org/W4224807364","https://openalex.org/W4292434959"],"abstract_inverted_index":{"Sequence":[0],"mining":[1],"has":[2],"been":[3],"receiving":[4],"increasing":[5],"attention":[6],"from":[7],"the":[8,16,36,71,83,101,119,127,130],"data":[9,47,102,143],"science":[10],"community":[11],"as":[12,86],"it":[13],"helps":[14],"reveal":[15,117],"underlying":[17],"patterns":[18],"in":[19,145],"a":[20,65,105],"given":[21],"phenomenon.":[22],"For":[23],"instance,":[24],"clustering":[25,84,131],"sequences":[26,40,72],"of":[27,35,129],"\"actions\"":[28],"taken":[29],"by":[30,88,96,104,112],"users":[31],"provide":[32],"understandable":[33],"trajectories":[34],"events.":[37],"However,":[38],"such":[39],"often":[41],"include":[42],"inessential":[43],"actions":[44],"recorded":[45],"during":[46,59],"collection.":[48],"It":[49],"is":[50,80],"generally":[51],"challenging":[52],"to":[53,69,81,100,142],"distinguish":[54],"between":[55],"noise":[56],"and":[57],"information":[58],"clustering.":[60,77],"This":[61],"paper":[62],"proposes":[63],"using":[64],"Genetic":[66],"Algorithm":[67],"(GA)":[68],"denoise":[70],"properly":[73],"before":[74],"they":[75],"undergo":[76],"The":[78],"intent":[79],"improve":[82,126],"quality,":[85],"measured":[87],"Silhouette":[89],"Score.":[90],"We":[91],"present":[92],"preliminary":[93],"results":[94,134],"obtained":[95],"applying":[97,139],"this":[98],"approach":[99],"collected":[103],"well-established":[106],"Intelligent":[107],"Tutoring":[108],"System":[109],"(Epplets.org)":[110],"used":[111],"novice":[113],"programmers.":[114],"Our":[115],"findings":[116],"that":[118,125],"GA":[120],"can":[121],"discover":[122],"sequence":[123,146],"cleanings":[124],"quality":[128],"process.":[132],"These":[133],"motivate":[135],"further":[136],"research":[137],"into":[138],"Evolutionary":[140],"Techniques":[141],"cleaning":[144],"mining.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
