{"id":"https://openalex.org/W3169551350","doi":"https://doi.org/10.1109/tcyb.2021.3082114","title":"Top-<i>k</i> Self-Adaptive Contrast Sequential Pattern Mining","display_name":"Top-<i>k</i> Self-Adaptive Contrast Sequential Pattern Mining","publication_year":2021,"publication_date":"2021-06-18","ids":{"openalex":"https://openalex.org/W3169551350","doi":"https://doi.org/10.1109/tcyb.2021.3082114","mag":"3169551350","pmid":"https://pubmed.ncbi.nlm.nih.gov/34143749"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3082114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3082114","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5034766193","display_name":"Youxi Wu","orcid":"https://orcid.org/0000-0001-5314-3468"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youxi Wu","raw_affiliation_strings":["School of Economics and Management, the School of Artificial Intelligence, and the Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, the School of Artificial Intelligence, and the Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088800759","display_name":"Wang Yue-hua","orcid":"https://orcid.org/0000-0001-6690-5812"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehua Wang","raw_affiliation_strings":["School of Economics and Management, the School of Artificial Intelligence, and the Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, the School of Artificial Intelligence, and the Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380302","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-1126-9772"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Economics and Management, the School of Artificial Intelligence, and the Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, the School of Artificial Intelligence, and the Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084641325","display_name":"Xingquan Zhu","orcid":"https://orcid.org/0000-0003-4129-9611"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingquan Zhu","raw_affiliation_strings":["Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","Mininglamp Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Mininglamp Academy of Sciences, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034766193"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":11.0954,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.98351023,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"52","issue":"11","first_page":"11819","last_page":"11833"},"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":0.9749000072479248,"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":0.9645000100135803,"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/contrast","display_name":"Contrast (vision)","score":0.8534203767776489},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7106296420097351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6845707297325134},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6303427219390869},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5458593368530273},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.514677107334137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48747706413269043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4775867462158203},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4430452287197113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26193633675575256}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8534203767776489},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7106296420097351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6845707297325134},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6303427219390869},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5458593368530273},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.514677107334137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48747706413269043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4775867462158203},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4430452287197113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26193633675575256},{"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/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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3082114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3082114","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:34143749","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34143749","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G2086940843","display_name":null,"funder_award_id":"52077056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G495661923","display_name":null,"funder_award_id":"917446209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5992500747","display_name":null,"funder_award_id":"61976240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7447526626","display_name":null,"funder_award_id":"2016YFB1000901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7820485183","display_name":null,"funder_award_id":"F2020202013","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W138108058","https://openalex.org/W1565746575","https://openalex.org/W1946428967","https://openalex.org/W1966788367","https://openalex.org/W1998959019","https://openalex.org/W2022798908","https://openalex.org/W2029955663","https://openalex.org/W2033376980","https://openalex.org/W2057804984","https://openalex.org/W2096126105","https://openalex.org/W2110723042","https://openalex.org/W2126046032","https://openalex.org/W2142827986","https://openalex.org/W2150045644","https://openalex.org/W2168196587","https://openalex.org/W2168613000","https://openalex.org/W2183819092","https://openalex.org/W2371032336","https://openalex.org/W2536557334","https://openalex.org/W2537091826","https://openalex.org/W2550062805","https://openalex.org/W2567142519","https://openalex.org/W2602895843","https://openalex.org/W2613683361","https://openalex.org/W2752850911","https://openalex.org/W2758905143","https://openalex.org/W2762034449","https://openalex.org/W2784172695","https://openalex.org/W2799813871","https://openalex.org/W2803163798","https://openalex.org/W2804685987","https://openalex.org/W2890208366","https://openalex.org/W2893454557","https://openalex.org/W2894761743","https://openalex.org/W2901050187","https://openalex.org/W2907464021","https://openalex.org/W2909794169","https://openalex.org/W2925608410","https://openalex.org/W2963904543","https://openalex.org/W2965505261","https://openalex.org/W2973857687","https://openalex.org/W3006291958","https://openalex.org/W3007713653","https://openalex.org/W3013769259","https://openalex.org/W3046961612","https://openalex.org/W3102927519","https://openalex.org/W3162432898","https://openalex.org/W3203005438","https://openalex.org/W4242702158","https://openalex.org/W6633774736","https://openalex.org/W6682263846"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"For":[0],"sequence":[1,233],"classification,":[2],"an":[3,138],"important":[4],"issue":[5],"is":[6,16,105],"to":[7,19,38,83,106,152,163,185,194],"find":[8,20,84],"discriminative":[9],"features,":[10],"where":[11],"sequential":[12],"pattern":[13,32,35,116,130],"mining":[14,36,103,192],"(SPM)":[15],"often":[17],"used":[18],"frequent":[21,230],"patterns":[22,40,89,188,196,227,231],"from":[23,91,242],"sequences":[24],"as":[25,202],"features.":[26],"To":[27,47,64,120],"improve":[28],"classification":[29],"accuracy":[30],"and":[31,60,93,145,182,189,206,223,237],"interpretability,":[33],"contrast":[34,50,75,88,170,200,209,226],"emerges":[37],"discover":[39],"with":[41,142,160,197],"high-contrast":[42],"rates":[43],"between":[44],"different":[45],"categories.":[46],"date,":[48],"existing":[49],"SPM":[51,171],"methods":[52],"face":[53],"many":[54],"challenges,":[55],"including":[56],"excessive":[57],"parameter":[58],"selection":[59],"inefficient":[61],"occurrences":[62,127,155],"counting.":[63],"tackle":[65],"these":[66],"issues,":[67],"this":[68],"article":[69],"proposes":[70],"a":[71,115,129,132,136,190],"top-":[72,85],"k":[73,86],"self-adaptive":[74,87],"SPM,":[76],"which":[77],"adaptively":[78],"adjusts":[79],"the":[80,98,102,108,150,154,169,176,198,203,208,217,220],"gap":[81],"constraints":[82],"(SCPs)":[90],"positive":[92],"negative":[94],"sequences.":[95],"One":[96],"of":[97,101,112,114,128,156,211,219],"key":[99],"tasks":[100],"problem":[104,172],"calculate":[107,153,207],"support":[109,121],"(the":[110],"number":[111],"occurrences)":[113],"in":[117,131,135],"each":[118],"sequence.":[119],"efficient":[122],"counting,":[123],"we":[124,179],"store":[125],"all":[126,157,212],"special":[133],"array":[134,151],"Nettree,":[137],"extended":[139],"tree":[140],"structure":[141],"multiple":[143,146],"roots":[144],"parents.":[147],"We":[148],"employ":[149],"its":[158,213],"superpatterns":[159],"one-way":[161],"scanning":[162],"avoid":[164],"redundant":[165],"calculation.":[166],"Meanwhile,":[167],"because":[168],"does":[173],"not":[174],"satisfy":[175],"Apriori":[177],"property,":[178],"propose":[180],"Zero":[181],"Less":[183],"strategies":[184],"prune":[186],"candidate":[187],"Contrast-first":[191],"strategy":[193],"select":[195],"highest":[199],"rate":[201,210],"prefix":[204],"subpattern":[205],"superpatterns.":[214],"Experiments":[215],"validate":[216],"efficiency":[218],"proposed":[221],"algorithm":[222],"show":[224],"that":[225],"significantly":[228],"outperform":[229],"for":[232],"classification.":[234],"The":[235],"algorithms":[236],"datasets":[238],"can":[239],"be":[240],"downloaded":[241],"https://github.com/wuc567/Pattern-Mining/tree/master/SCP-Miner.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2021-06-22T00:00:00"}