{"id":"https://openalex.org/W4289521141","doi":"https://doi.org/10.1007/s10115-022-01689-2","title":"gRosSo: mining statistically robust patterns from a sequence of datasets","display_name":"gRosSo: mining statistically robust patterns from a sequence of datasets","publication_year":2022,"publication_date":"2022-08-02","ids":{"openalex":"https://openalex.org/W4289521141","doi":"https://doi.org/10.1007/s10115-022-01689-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-022-01689-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01689-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01689-2.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01689-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091887228","display_name":"Andrea Tonon","orcid":"https://orcid.org/0000-0001-5676-0269"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Tonon","raw_affiliation_strings":["Department of Information Engineering, University of Padova, 35131, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, 35131, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060279781","display_name":"Fabio Vandin","orcid":"https://orcid.org/0000-0003-2244-2320"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Vandin","raw_affiliation_strings":["Department of Information Engineering, University of Padova, 35131, Padova, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2244-2320","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, 35131, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091887228"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":0.319,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61811685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"64","issue":"9","first_page":"2329","last_page":"2359"},"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":0.9926999807357788,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9887999892234802,"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/sequence","display_name":"Sequence (biology)","score":0.709761917591095},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6419536471366882},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.630970299243927},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5633451342582703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.534233808517456},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4449637234210968},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.41059818863868713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37705492973327637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3694736957550049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35750705003738403}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.709761917591095},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6419536471366882},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.630970299243927},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5633451342582703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.534233808517456},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4449637234210968},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.41059818863868713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37705492973327637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3694736957550049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35750705003738403},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10115-022-01689-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01689-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01689-2.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3456672","is_oa":true,"landing_page_url":"https://hdl.handle.net/11577/3456672","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10115-022-01689-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01689-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01689-2.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1464101492","display_name":null,"funder_award_id":"FESR 2014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G1486038497","display_name":null,"funder_award_id":"Law 232/2016","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G2156854459","display_name":null,"funder_award_id":"20174LF3T8 AHeAD","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G2484832597","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G5143266877","display_name":null,"funder_award_id":"20174LF3T8","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G5329322851","display_name":null,"funder_award_id":"232/2016","funder_id":"https://openalex.org/F4320317295","funder_display_name":"Dipartimenti di Eccellenza"},{"id":"https://openalex.org/G5417130124","display_name":null,"funder_award_id":"232/2016","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G5634946813","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G72824567","display_name":null,"funder_award_id":"POR FESR 2014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320317295","display_name":"Dipartimenti di Eccellenza","ror":null},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"},{"id":"https://openalex.org/F4320321966","display_name":"Universit\u00e0 degli Studi di Padova","ror":"https://ror.org/00240q980"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289521141.pdf","grobid_xml":"https://content.openalex.org/works/W4289521141.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1595769679","https://openalex.org/W1641039719","https://openalex.org/W1991417304","https://openalex.org/W2014286755","https://openalex.org/W2014902932","https://openalex.org/W2023600785","https://openalex.org/W2029538739","https://openalex.org/W2038812321","https://openalex.org/W2064342721","https://openalex.org/W2090479884","https://openalex.org/W2110893883","https://openalex.org/W2115482638","https://openalex.org/W2129501055","https://openalex.org/W2145539275","https://openalex.org/W2158454296","https://openalex.org/W2168196587","https://openalex.org/W2241571695","https://openalex.org/W2507635762","https://openalex.org/W2536557334","https://openalex.org/W2742542169","https://openalex.org/W2754504587","https://openalex.org/W2908113893","https://openalex.org/W2950421339","https://openalex.org/W2963855376","https://openalex.org/W2965505261","https://openalex.org/W2998574808","https://openalex.org/W3004139501","https://openalex.org/W3025180762","https://openalex.org/W3034606263","https://openalex.org/W3103529187","https://openalex.org/W3126724702"],"related_works":["https://openalex.org/W3102632868","https://openalex.org/W4365211920","https://openalex.org/W1998707102","https://openalex.org/W2032649343","https://openalex.org/W2961795209","https://openalex.org/W4312107606","https://openalex.org/W4378448767","https://openalex.org/W3016626426","https://openalex.org/W2523469089","https://openalex.org/W2997918300"],"abstract_inverted_index":{"Abstract":[0],"Pattern":[1],"mining":[2,7,42,168,196],"is":[3],"a":[4,25,116],"fundamental":[5],"data":[6,185],"task":[8],"with":[9,159],"applications":[10],"in":[11,21,54,80],"several":[12],"domains.":[13],"In":[14],"this":[15],"work,":[16],"we":[17,23,37],"consider":[18],"the":[19,39,67,72,78,81,93,97,101,106,110,121,125,146,167,193],"scenario":[20],"which":[22,47,83],"have":[24],"sequence":[26,117],"of":[27,41,52,69,74,100,109,118,145,169,195],"datasets":[28,79],"generated":[29],"by":[30,114],"potentially":[31],"different":[32],"underlying":[33],"generative":[34,59,126],"processes,":[35,127],"and":[36,128,174,183,201],"study":[38],"problem":[40,194],"statistically":[43,111,147,170,175,197,202],"robust":[44,112,148,171,176,198,203],"patterns":[45,49,68,113,149,173,200],",":[46,138],"are":[48],"whose":[50],"probabilities":[51,76],"appearing":[53],"transactions":[55],"drawn":[56],"from":[57,124],"such":[58],"processes":[60],"respect":[61],"well-defined":[62],"conditions.":[63],"Such":[64],"conditions":[65],"define":[66],"interest,":[70],"describing":[71],"evolution":[73],"their":[75],"through":[77,92],"sequence,":[82],"may,":[84],"for":[85,192],"example,":[86],"increase,":[87],"decrease,":[88],"or":[89,156],"stay":[90],"stable,":[91],"sequence.":[94],"Due":[95],"to":[96,130,132,141,166],"stochastic":[98],"nature":[99],"data,":[102],"one":[103],"cannot":[104],"identify":[105],"exact":[107],"set":[108],"analyzing":[115],"samples,":[119],"i.e.,":[120],"datasets,":[122],"taken":[123],"has":[129],"resort":[131],"approximations.":[133],"We":[134,162],"then":[135],"propose":[136],"gRosSo":[137,188],"an":[139],"algorithm":[140],"find":[142],"rigorous":[143],"approximations":[144,191],"that":[150,187],"do":[151],"not":[152],"contain":[153],"false":[154,157],"positives":[155],"negatives":[158],"high":[160],"probability.":[161],"apply":[163],"our":[164],"framework":[165],"sequential":[172,199],"itemsets.":[177,204],"Our":[178],"extensive":[179],"evaluation":[180],"on":[181],"pseudo-artificial":[182],"real":[184],"shows":[186],"provides":[189],"high-quality":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}
