{"id":"https://openalex.org/W2371111429","doi":null,"title":"Research and Advancement of Classification Method of Imbalanced Data Sets","display_name":"Research and Advancement of Classification Method of Imbalanced Data Sets","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2371111429","mag":"2371111429"},"language":"en","primary_location":{"id":"mag:2371111429","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJA200804004.htm","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Science","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5101823256","display_name":"Gao Jia","orcid":"https://orcid.org/0000-0001-5033-770X","observed_orcids":["https://orcid.org/0000-0001-5033-770X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gao Jia","raw_affiliation_strings":["-Wei1,2 LIANG Ji-Ye1,2"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"-Wei1,2 LIANG Ji-Ye1,2","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101823256"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":1.0,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":1.0,"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":9.999999747378752e-05,"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/T12384","display_name":"Customer churn and segmentation","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classification","display_name":"classification","score":0.628000020980835},{"id":"https://openalex.org/keywords/evaluation-indicators","display_name":"evaluation metrics","score":0.5580000281333923},{"id":"https://openalex.org/keywords/minority-class","display_name":"minority class","score":0.6880000233650208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8690530061721802},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6159220337867737},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.560820460319519},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4195476174354553},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4152109622955322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36860722303390503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35584595799446106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.060908734798431396},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2371111429","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJA200804004.htm","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Science","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4412049267","https://openalex.org/W2140102659","https://openalex.org/W2372141336","https://openalex.org/W4237564860","https://openalex.org/W3144202268","https://openalex.org/W2672642953","https://openalex.org/W2183819533","https://openalex.org/W7096214798","https://openalex.org/W7099265015","https://openalex.org/W1623006543"],"abstract_inverted_index":{"As":[0],"the":[1,9,21,30,35,42,51,58],"imbalanced":[2,43],"data":[3,25,44],"sets":[4,45],"are":[5,38,60],"widely":[6],"used":[7,39],"in":[8,20,57,63],"world,":[10],"how":[11],"to":[12,40],"classify":[13,41],"them":[14],"has":[15],"become":[16],"a":[17],"hot":[18],"topic":[19],"research":[22],"field":[23],"of":[24],"mining.":[26],"The":[27],"thesis":[28],"summarizes":[29],"usual":[31],"evaluation":[32],"method":[33],"and":[34,50],"algorithms":[36],"which":[37,53],"at":[46],"present.":[47],"Main":[48],"difficulties":[49],"questions":[52],"will":[54],"be":[55],"solved":[56],"future":[59],"also":[61],"shown":[62],"this":[64],"paper.":[65]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}