{"id":"https://openalex.org/W2568434464","doi":"https://doi.org/10.1109/cist.2016.7805041","title":"Detection and elimination of class noise in large datasets using partitioning filter technique","display_name":"Detection and elimination of class noise in large datasets using partitioning filter technique","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2568434464","doi":"https://doi.org/10.1109/cist.2016.7805041","mag":"2568434464"},"language":"en","primary_location":{"id":"doi:10.1109/cist.2016.7805041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist.2016.7805041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","raw_type":"proceedings-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/A5040168616","display_name":"Btissam Zerhari","orcid":"https://orcid.org/0000-0003-1921-743X"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Btissam Zerhari","raw_affiliation_strings":["LRIT, Mohammed V University in Rabat, Morocco","LRIT, Unit\u00e9 associ\u00e9e au CNRST URAC 29, Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"LRIT, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]},{"raw_affiliation_string":"LRIT, Unit\u00e9 associ\u00e9e au CNRST URAC 29, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080376355","display_name":"Ayoub Ait Lahcen","orcid":"https://orcid.org/0000-0001-8739-3369"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]},{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ayoub Ait Lahcen","raw_affiliation_strings":["LGS, Ibn Tofail University, Kenitra, Morocco","LRIT, Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"LGS, Ibn Tofail University, Kenitra, Morocco","institution_ids":["https://openalex.org/I3121676899"]},{"raw_affiliation_string":"LRIT, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077605859","display_name":"Salma Mouline","orcid":"https://orcid.org/0000-0003-0417-8968"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Salma Mouline","raw_affiliation_strings":["LRIT, Mohammed V University in Rabat, Morocco","LRIT, Unit\u00e9 associ\u00e9e au CNRST URAC 29, Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"LRIT, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]},{"raw_affiliation_string":"LRIT, Unit\u00e9 associ\u00e9e au CNRST URAC 29, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040168616"],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":0.857,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84886238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"247","issue":null,"first_page":"194","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.6349289417266846},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5932100415229797},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5894648432731628},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5589954853057861},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.45448824763298035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.368428111076355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35102882981300354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34835824370384216},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3191419243812561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18778157234191895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6349289417266846},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5932100415229797},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5894648432731628},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5589954853057861},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.45448824763298035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.368428111076355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35102882981300354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34835824370384216},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3191419243812561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18778157234191895},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cist.2016.7805041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist.2016.7805041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1537199460","https://openalex.org/W1570448133","https://openalex.org/W1572720249","https://openalex.org/W1596345407","https://openalex.org/W1898031563","https://openalex.org/W2005242940","https://openalex.org/W2008463764","https://openalex.org/W2010884594","https://openalex.org/W2031030051","https://openalex.org/W2035149165","https://openalex.org/W2079899298","https://openalex.org/W2107858472","https://openalex.org/W2131996292","https://openalex.org/W2144610524","https://openalex.org/W2150667285","https://openalex.org/W4256588844","https://openalex.org/W6632227097","https://openalex.org/W6634094483","https://openalex.org/W6639540558"],"related_works":["https://openalex.org/W3034789145","https://openalex.org/W2327107878","https://openalex.org/W2171117985","https://openalex.org/W2012356576","https://openalex.org/W1526760723","https://openalex.org/W2126659863","https://openalex.org/W4287867034","https://openalex.org/W3108403339","https://openalex.org/W3112120395","https://openalex.org/W4367628250"],"abstract_inverted_index":{"Class":[0],"noise":[1,17,58],"elimination":[2,61],"in":[3,10,62,91,111],"large":[4,63],"databases":[5],"is":[6,109],"a":[7],"real":[8],"issue":[9],"data":[11,74],"mining":[12],"processing.":[13],"In":[14,48],"fact,":[15],"class":[16,57,95],"may":[18],"sometimes":[19],"lead":[20],"to":[21,26,43,81,88,93],"distortion":[22],"or":[23],"inaccuracy.":[24],"So":[25],"overcome":[27],"this":[28,49,51],"problem,":[29],"many":[30],"techniques":[31],"have":[32,40],"been":[33],"proposed.":[34],"However,":[35],"most":[36],"of":[37,106],"them":[38],"don't":[39],"the":[41,89,101,107],"capacity":[42],"deal":[44],"with":[45,116],"huge":[46],"volume.":[47],"context,":[50],"paper":[52],"presents":[53],"an":[54],"architecture":[55,66,108],"for":[56],"detection":[59],"and":[60,97],"datasets.":[64],"This":[65],"relies":[67],"on":[68],"four":[69],"important":[70],"levels:":[71],"i)":[72],"dividing":[73],"into":[75],"subsets;":[76],"ii)":[77],"extracting":[78],"best":[79],"rules":[80],"predict":[82],"classes;":[83],"iii)":[84],"applying":[85],"different":[86],"classifiers":[87,102],"subsets":[90],"order":[92],"detect":[94],"noise;":[96],"finally":[98],"iv)":[99],"combine":[100],"results.":[103],"The":[104],"validity":[105],"studied":[110],"experimentation,":[112],"comparing":[113],"other":[114],"works":[115],"our":[117],"proposal.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
