{"id":"https://openalex.org/W2003209042","doi":"https://doi.org/10.1007/s10489-013-0506-9","title":"Mining top-k frequent patterns with combination reducing techniques","display_name":"Mining top-k frequent patterns with combination reducing techniques","publication_year":2014,"publication_date":"2014-01-21","ids":{"openalex":"https://openalex.org/W2003209042","doi":"https://doi.org/10.1007/s10489-013-0506-9","mag":"2003209042"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-013-0506-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-013-0506-9","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5042317722","display_name":"Gwangbum Pyun","orcid":null},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gwangbum Pyun","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079834335","display_name":"Unil Yun","orcid":"https://orcid.org/0000-0002-3720-0861"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Unil Yun","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079834335"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":40.0038,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.99659238,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"41","issue":"1","first_page":"76","last_page":"98"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9786999821662903,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9764000177383423,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.81334388256073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6907689571380615},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5943887233734131},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.558499813079834},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5583552122116089},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.45527026057243347},{"id":"https://openalex.org/keywords/pattern-analysis","display_name":"Pattern analysis","score":0.4239538013935089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3688555955886841},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35854801535606384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25218135118484497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11007553339004517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81334388256073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6907689571380615},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5943887233734131},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.558499813079834},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5583552122116089},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.45527026057243347},{"id":"https://openalex.org/C2985264313","wikidata":"https://www.wikidata.org/wiki/Q378859","display_name":"Pattern analysis","level":2,"score":0.4239538013935089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3688555955886841},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35854801535606384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25218135118484497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11007553339004517},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-013-0506-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-013-0506-9","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W65111453","https://openalex.org/W110175884","https://openalex.org/W578119892","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1575419735","https://openalex.org/W1965442165","https://openalex.org/W1970175562","https://openalex.org/W1983595396","https://openalex.org/W1985044677","https://openalex.org/W1985124559","https://openalex.org/W1993979917","https://openalex.org/W1996742382","https://openalex.org/W2000846246","https://openalex.org/W2001775555","https://openalex.org/W2002263433","https://openalex.org/W2006400338","https://openalex.org/W2014832886","https://openalex.org/W2023090481","https://openalex.org/W2024511949","https://openalex.org/W2031644269","https://openalex.org/W2034589438","https://openalex.org/W2045029544","https://openalex.org/W2050419399","https://openalex.org/W2052296830","https://openalex.org/W2066784532","https://openalex.org/W2071323385","https://openalex.org/W2074780997","https://openalex.org/W2075173616","https://openalex.org/W2077342392","https://openalex.org/W2080868924","https://openalex.org/W2089553344","https://openalex.org/W2089892729","https://openalex.org/W2092542234","https://openalex.org/W2096139125","https://openalex.org/W2110893883","https://openalex.org/W2111240842","https://openalex.org/W2115482638","https://openalex.org/W2120014535","https://openalex.org/W2129836922","https://openalex.org/W2137012502","https://openalex.org/W2139786672","https://openalex.org/W2143428105","https://openalex.org/W2143826688","https://openalex.org/W2145628642","https://openalex.org/W2149659421","https://openalex.org/W2153426546","https://openalex.org/W2169679229","https://openalex.org/W2338265522","https://openalex.org/W4226054531"],"related_works":["https://openalex.org/W2357503453","https://openalex.org/W2358113059","https://openalex.org/W2367573304","https://openalex.org/W2347219288","https://openalex.org/W1968092302","https://openalex.org/W2357144891","https://openalex.org/W1969663039","https://openalex.org/W2359339383","https://openalex.org/W2384217159","https://openalex.org/W2360627962"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
