{"id":"https://openalex.org/W2004917947","doi":"https://doi.org/10.1109/icmlc.2010.5581026","title":"Chinese question classification based on mining association rules","display_name":"Chinese question classification based on mining association rules","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2004917947","doi":"https://doi.org/10.1109/icmlc.2010.5581026","mag":"2004917947"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5581026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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/A5058644350","display_name":"Yongle Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong-Le Sun","raw_affiliation_strings":["School of Computer and Communication Engineering, Weifang University, Weifang, China","School of Computer and Communication Engineering, Weifang University, Weifang 261061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Weifang University, Weifang, China","institution_ids":["https://openalex.org/I66883779"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Weifang University, Weifang 261061, China","institution_ids":["https://openalex.org/I66883779"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058644350"],"corresponding_institution_ids":["https://openalex.org/I66883779"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11768307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"413","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9858999848365784,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9858999848365784,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9850999712944031,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9634000062942505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.9341447949409485},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.7441368103027344},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.7186174988746643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6828970313072205},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5771125555038452},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4707789123058319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4642093777656555},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05551779270172119}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.9341447949409485},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.7441368103027344},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.7186174988746643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6828970313072205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5771125555038452},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4707789123058319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4642093777656555},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05551779270172119},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5581026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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":17,"referenced_works":["https://openalex.org/W143317831","https://openalex.org/W170398022","https://openalex.org/W185846476","https://openalex.org/W1538334478","https://openalex.org/W1577729528","https://openalex.org/W2070246124","https://openalex.org/W2083581617","https://openalex.org/W2086004682","https://openalex.org/W2093878082","https://openalex.org/W2117540369","https://openalex.org/W2154356545","https://openalex.org/W2181530706","https://openalex.org/W2361260997","https://openalex.org/W6605874816","https://openalex.org/W6606963565","https://openalex.org/W6607600084","https://openalex.org/W6634628751"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"method":[4,28,77],"of":[5,37,56],"Chinese":[6],"question":[7,23,39,58],"classification":[8],"based":[9,50],"on":[10],"the":[11,31,35,38,54,57,63,66,75],"mining":[12],"association":[13,32,47,68],"rules":[14,33,48,69],"is":[15,59,78],"proposed.":[16],"Words":[17],"and":[18,40,80],"Bi-gram":[19],"are":[20],"extracted":[21],"from":[22],"as":[24],"classific":[25,42],"features.":[26],"The":[27],"can":[29,81],"mine":[30],"between":[34],"type":[36,55,64],"its":[41],"features,":[43],"to":[44],"construct":[45],"an":[46],"-":[49],"database.":[51],"At":[52],"last":[53],"marked":[60],"by":[61],"choosing":[62],"which":[65],"most":[67],"define.":[70],"Experimental":[71],"results":[72],"show":[73],"that":[74],"proposed":[76],"feasible":[79],"achieve":[82],"good":[83],"performance.":[84]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}