{"id":"https://openalex.org/W2135678751","doi":"https://doi.org/10.1109/icmlc.2012.6358924","title":"Attribute reduction based on the principle of maximal dependency and minimal mutual information","display_name":"Attribute reduction based on the principle of maximal dependency and minimal mutual information","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2135678751","doi":"https://doi.org/10.1109/icmlc.2012.6358924","mag":"2135678751"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2012.6358924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017499347","display_name":"Junhai Zhai","orcid":"https://orcid.org/0000-0001-9962-7417"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Hai Zhai","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li-Yan Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Yan Wan","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087188294","display_name":"Mengyao Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng-Yao Zhai","raw_affiliation_strings":["Industrial & Commercial College, Hebei University, Baoding, China","Industrial & Commercial College, Hebei University, Baoding 071002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial & Commercial College, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Industrial & Commercial College, Hebei University, Baoding 071002, China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.21150984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"272","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9800999760627747,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9760000109672546,"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/reduct","display_name":"Reduct","score":0.9554086923599243},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.8669681549072266},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7375108003616333},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6916875243186951},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6875787973403931},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6043111085891724},{"id":"https://openalex.org/keywords/attribute-domain","display_name":"Attribute domain","score":0.6000913381576538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5196096301078796},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5157592296600342},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4904119670391083},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4788548946380615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46095919609069824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4537799656391144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4437430799007416},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43697303533554077}],"concepts":[{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.9554086923599243},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.8669681549072266},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7375108003616333},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6916875243186951},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6875787973403931},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6043111085891724},{"id":"https://openalex.org/C75814411","wikidata":"https://www.wikidata.org/wiki/Q4818714","display_name":"Attribute domain","level":3,"score":0.6000913381576538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5196096301078796},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5157592296600342},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4904119670391083},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4788548946380615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46095919609069824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4537799656391144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4437430799007416},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43697303533554077},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2012.6358924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1553701556","https://openalex.org/W1968534631","https://openalex.org/W1986537524","https://openalex.org/W2007686858","https://openalex.org/W2040989072","https://openalex.org/W2045358009","https://openalex.org/W2052780927","https://openalex.org/W2053623704","https://openalex.org/W2072396572","https://openalex.org/W2077812306","https://openalex.org/W2079680557","https://openalex.org/W2090854439","https://openalex.org/W2113890143","https://openalex.org/W2142827986","https://openalex.org/W2143040521","https://openalex.org/W2143451122","https://openalex.org/W2149772057","https://openalex.org/W2154053567","https://openalex.org/W2156483112","https://openalex.org/W2156571267","https://openalex.org/W2478708596","https://openalex.org/W2570343052","https://openalex.org/W2982720039","https://openalex.org/W4205699531","https://openalex.org/W4236137412","https://openalex.org/W4255833381","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W2904406045","https://openalex.org/W2101726329","https://openalex.org/W2392079855","https://openalex.org/W831516024","https://openalex.org/W2377731241","https://openalex.org/W2160617124","https://openalex.org/W2738092572","https://openalex.org/W2069505888","https://openalex.org/W191779038","https://openalex.org/W2470167798"],"abstract_inverted_index":{"Attribute":[0],"reduction":[1,57,84],"plays":[2],"key":[3],"role":[4],"in":[5,48],"the":[6,34,42,46,49,61],"process":[7],"of":[8,63],"extracting":[9],"classification":[10,105],"rules":[11],"with":[12,82],"rough":[13],"set":[14],"technique.":[15],"Method":[16],"based":[17,59,86],"on":[18,60,87],"attribute":[19,56,68],"significance":[20],"has":[21],"been":[22],"extensively":[23],"studied":[24],"for":[25],"finding":[26],"a":[27,54],"reduct.":[28,50],"However,":[29],"this":[30],"method":[31,58,85,96],"only":[32],"selects":[33],"most":[35],"significant":[36],"attributes":[37,47,71],"and":[38,69,72,80,99],"do":[39],"not":[40],"consider":[41],"mutual":[43,74],"relevance":[44],"among":[45],"This":[51],"paper":[52],"proposes":[53],"novel":[55],"principle":[62],"maximal":[64],"dependency":[65],"between":[66],"decision":[67],"condition":[70],"minimal":[73],"information.":[75],"We":[76],"conduct":[77],"several":[78],"experiments":[79],"compare":[81],"benchmark":[83],"dependency.":[88],"The":[89],"experimental":[90],"results":[91],"show":[92],"that":[93],"our":[94],"proposed":[95],"is":[97],"feasible":[98],"effective.":[100],"Especially,":[101],"it":[102],"can":[103],"improve":[104],"accuracy.":[106]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}