{"id":"https://openalex.org/W3108637073","doi":"https://doi.org/10.1007/s10618-021-00799-9","title":"Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets","display_name":"Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets","publication_year":2021,"publication_date":"2021-10-04","ids":{"openalex":"https://openalex.org/W3108637073","doi":"https://doi.org/10.1007/s10618-021-00799-9","mag":"3108637073"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-021-00799-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-021-00799-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-021-00799-9.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10618-021-00799-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056044065","display_name":"Tatiana Makhalova","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Tatiana Makhalova","raw_affiliation_strings":["Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000, Nancy, France","[Universite de Lorraine, CNRS, Inria, LORIA, Nancy, France]"],"raw_orcid":"https://orcid.org/0000-0002-6724-3803","affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000, Nancy, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"[Universite de Lorraine, CNRS, Inria, LORIA, Nancy, France]","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004960011","display_name":"Sergei O. Kuznetsov","orcid":"https://orcid.org/0000-0003-3284-9001"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergei O. Kuznetsov","raw_affiliation_strings":["National Research University Higher School of Economics, Moscow, Russia","National Research University Higher School of Economics, Moscow"],"raw_orcid":"https://orcid.org/0000-0003-3284-9001","affiliations":[{"raw_affiliation_string":"National Research University Higher School of Economics, Moscow, Russia","institution_ids":["https://openalex.org/I118501908"]},{"raw_affiliation_string":"National Research University Higher School of Economics, Moscow","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078581206","display_name":"Amedeo Napoli","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Amedeo Napoli","raw_affiliation_strings":["Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000, Nancy, France","Knowledge  representation, reasonning"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000, Nancy, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Knowledge  representation, reasonning","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056044065"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210121838","https://openalex.org/I90183372"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0057201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"1","first_page":"108","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9746000170707703,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9567999839782715,"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/minimum-description-length","display_name":"Minimum description length","score":0.6816860437393188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6235337853431702},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5965917706489563},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5943971872329712},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5886811017990112},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48581671714782715},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3167237341403961},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2558862268924713},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08799964189529419}],"concepts":[{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.6816860437393188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6235337853431702},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5965917706489563},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5943971872329712},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5886811017990112},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48581671714782715},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3167237341403961},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2558862268924713},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08799964189529419},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s10618-021-00799-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-021-00799-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-021-00799-9.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2011.14843","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.14843","pdf_url":"https://arxiv.org/pdf/2011.14843","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3108637073","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2011.14843","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-03437629v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03437629","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Mining and Knowledge Discovery, 2022, 36 (1), pp.108--145. &#x27E8;10.1007/s10618-021-00799-9&#x27E9;","raw_type":"Journal articles"},{"id":"doi:10.48550/arxiv.2011.14843","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.14843","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10618-021-00799-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-021-00799-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-021-00799-9.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3108637073.pdf","grobid_xml":"https://content.openalex.org/works/W3108637073.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W37234579","https://openalex.org/W1568714600","https://openalex.org/W1847721586","https://openalex.org/W1988789586","https://openalex.org/W2001592424","https://openalex.org/W2002118890","https://openalex.org/W2011430131","https://openalex.org/W2086325844","https://openalex.org/W2106596127","https://openalex.org/W2124066753","https://openalex.org/W2124828389","https://openalex.org/W2131626681","https://openalex.org/W2138790649","https://openalex.org/W2146160048","https://openalex.org/W2146438816","https://openalex.org/W2158721538","https://openalex.org/W2170902455","https://openalex.org/W2943554161","https://openalex.org/W2946389537","https://openalex.org/W2963822124","https://openalex.org/W2997167919","https://openalex.org/W3000187205","https://openalex.org/W3017458938","https://openalex.org/W3017722066","https://openalex.org/W3018778650","https://openalex.org/W3123545922","https://openalex.org/W4206760206","https://openalex.org/W4213009331","https://openalex.org/W4242725525","https://openalex.org/W4288598360","https://openalex.org/W4288598644"],"related_works":["https://openalex.org/W3201881723","https://openalex.org/W2523304320","https://openalex.org/W1515202625","https://openalex.org/W1540134652","https://openalex.org/W2093826060","https://openalex.org/W1551335441","https://openalex.org/W574985642","https://openalex.org/W1494231894","https://openalex.org/W1513310457","https://openalex.org/W2569636906","https://openalex.org/W2612282350","https://openalex.org/W1538971590","https://openalex.org/W1606491489","https://openalex.org/W2184116383","https://openalex.org/W2023677932","https://openalex.org/W1516802234","https://openalex.org/W130542203","https://openalex.org/W1564067515","https://openalex.org/W1604481076","https://openalex.org/W1861692902"],"abstract_inverted_index":{"Abstract":[0],"Pattern":[1],"mining":[2,8,12,24,43],"is":[3,17,49,93],"well":[4,62],"established":[5],"in":[6,57,63,96,110],"data":[7],"research,":[9],"especially":[10],"for":[11,42,71],"binary":[13],"datasets.":[14,45],"Surprisingly,":[15],"there":[16],"much":[18],"less":[19],"work":[20],"about":[21],"numerical":[22,44,100],"pattern":[23,58,101],"and":[25,52,60,75,86,124],"this":[26,32],"research":[27],"area":[28],"remains":[29],"under-explored.":[30],"In":[31,66,106],"paper":[33,112],"we":[34,68,113],"propose":[35],"Mint":[36,67,92,116],",":[37,123],"an":[38],"efficient":[39],"MDL-based":[40],"algorithm":[41],"The":[46],"MDL":[47,70],"principle":[48],"a":[50,77],"robust":[51],"reliable":[53],"framework":[54],"widely":[55],"used":[56],"mining,":[59],"as":[61],"subgroup":[64],"discovery.":[65],"reuse":[69],"discovering":[72],"useful":[73],"patterns":[74,82],"returning":[76],"set":[78],"of":[79,90,99],"non-redundant":[80],"overlapping":[81],"with":[83],"well-defined":[84],"boundaries":[85],"covering":[87],"meaningful":[88],"groups":[89],"objects.":[91],"not":[94],"alone":[95],"the":[97,107,111],"category":[98],"miners":[102],"based":[103],"on":[104],"MDL.":[105],"experiments":[108],"presented":[109],"show":[114],"that":[115],"outperforms":[117],"competitors":[118],"among":[119],"which":[120],"IPD,":[121],"RealKrimp":[122],"Slim":[125],".":[126]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
