{"id":"https://openalex.org/W2088239537","doi":"https://doi.org/10.15439/2014f502","title":"Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes","display_name":"Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes","publication_year":2014,"publication_date":"2014-09-29","ids":{"openalex":"https://openalex.org/W2088239537","doi":"https://doi.org/10.15439/2014f502","mag":"2088239537"},"language":"en","primary_location":{"id":"doi:10.15439/2014f502","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2014f502","pdf_url":"https://annals-csis.org/proceedings/2014/pliks/502.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2014/pliks/502.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037726482","display_name":"Dymitr Ruta","orcid":"https://orcid.org/0000-0003-1060-6375"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Dymitr Ruta","raw_affiliation_strings":["Etisalat, British Telecom Innovation Centre Khalifa University, Fatima F302, PO Box 127788 Abu Dhabi, UAE","Etisalat, British Telecom Innovation Centre, Khalifa University, Fatima F302, PO Box 127788, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Etisalat, British Telecom Innovation Centre Khalifa University, Fatima F302, PO Box 127788 Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]},{"raw_affiliation_string":"Etisalat, British Telecom Innovation Centre, Khalifa University, Fatima F302, PO Box 127788, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037726482"],"corresponding_institution_ids":["https://openalex.org/I176601375"],"apc_list":null,"apc_paid":null,"fwci":2.0532,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88619744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"375","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9948999881744385,"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":0.9948999881744385,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9900000095367432,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7638754844665527},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7488505244255066},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7448334693908691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6204500198364258},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5970335006713867},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5702794790267944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5492987632751465},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4952372610569},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4914649724960327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4911360442638397},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4748031198978424},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.473540723323822},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.46382251381874084},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21619057655334473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638754844665527},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7488505244255066},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7448334693908691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6204500198364258},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5970335006713867},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5702794790267944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5492987632751465},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4952372610569},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4914649724960327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4911360442638397},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4748031198978424},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.473540723323822},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.46382251381874084},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21619057655334473}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.15439/2014f502","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2014f502","pdf_url":"https://annals-csis.org/proceedings/2014/pliks/502.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.651.3945","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.3945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://fedcsis.org/proceedings/2014/pliks/502.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:df0e9c4a6a294e34861ae7290216b8b0","is_oa":false,"landing_page_url":"https://doaj.org/article/df0e9c4a6a294e34861ae7290216b8b0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 2, Pp 375-380 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2014f502","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2014f502","pdf_url":"https://annals-csis.org/proceedings/2014/pliks/502.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2088239537.pdf","grobid_xml":"https://content.openalex.org/works/W2088239537.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W581415097","https://openalex.org/W605727707","https://openalex.org/W1661871015","https://openalex.org/W1678356000","https://openalex.org/W2005861721","https://openalex.org/W2072128103","https://openalex.org/W2102831150","https://openalex.org/W2128476487","https://openalex.org/W2134367047","https://openalex.org/W2149454242","https://openalex.org/W2154555202","https://openalex.org/W2157963512","https://openalex.org/W2166445532","https://openalex.org/W2997674406","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"The":[0],"explosive":[1],"growth":[2],"of":[3,15,31],"big":[4],"data":[5,17],"poses":[6],"a":[7],"processing":[8],"challenge":[9],"for":[10],"predictive":[11],"systems":[12],"in":[13],"terms":[14],"both":[16],"size":[18],"and":[19],"its":[20],"dimensionality.":[21],"Generating":[22],"features":[23,33],"from":[24],"text":[25],"often":[26],"leads":[27],"to":[28],"many":[29],"thousands":[30],"sparse":[32],"rarely":[34],"taking":[35],"non-zero":[36],"values.":[37]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}