{"id":"https://openalex.org/W2429141036","doi":"https://doi.org/10.5220/0005748000770084","title":"Discipline Decision Tree Classification Algorithm and Application based on Weighted Information Gain Ratio","display_name":"Discipline Decision Tree Classification Algorithm and Application based on Weighted Information Gain Ratio","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2429141036","doi":"https://doi.org/10.5220/0005748000770084","mag":"2429141036"},"language":"en","primary_location":{"id":"doi:10.5220/0005748000770084","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005748000770084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computer Supported Education","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/A5110001876","display_name":"Yan Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yan Xia","raw_affiliation_strings":["Shanghai Education Evaluation Institute, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Education Evaluation Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062237409","display_name":"Jian Shu","orcid":"https://orcid.org/0000-0002-9866-554X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Shu","raw_affiliation_strings":["Shanghai General Motor, China"],"affiliations":[{"raw_affiliation_string":"Shanghai General Motor, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036742802","display_name":"Na Xu","orcid":"https://orcid.org/0000-0001-8141-5942"},"institutions":[{"id":"https://openalex.org/I4210165726","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210165456","https://openalex.org/I4210165726"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Xu","raw_affiliation_strings":["Shanghai Municipal Education Examinations, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Municipal Education Examinations, China","institution_ids":["https://openalex.org/I4210165726"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050087930","display_name":"Hui Feng","orcid":"https://orcid.org/0000-0002-7095-0621"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Feng","raw_affiliation_strings":["Shanghai Education Evaluation Institute, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Education Evaluation Institute, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110001876"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02548002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.20440000295639038,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.20440000295639038,"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/T13812","display_name":"AI and HR Technologies","score":0.17440000176429749,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/information-gain-ratio","display_name":"Information gain ratio","score":0.7153170108795166},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.673744261264801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6566139459609985},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5426992774009705},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5168512463569641},{"id":"https://openalex.org/keywords/information-gain","display_name":"Information gain","score":0.5130635499954224},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4736129939556122},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4710927903652191},{"id":"https://openalex.org/keywords/advice","display_name":"Advice (programming)","score":0.4618116617202759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3999840021133423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38843271136283875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36498332023620605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19381794333457947}],"concepts":[{"id":"https://openalex.org/C202185110","wikidata":"https://www.wikidata.org/wiki/Q6031086","display_name":"Information gain ratio","level":3,"score":0.7153170108795166},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.673744261264801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566139459609985},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5426992774009705},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5168512463569641},{"id":"https://openalex.org/C2983203078","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Information gain","level":2,"score":0.5130635499954224},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4736129939556122},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4710927903652191},{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.4618116617202759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3999840021133423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38843271136283875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36498332023620605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19381794333457947},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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:10.5220/0005748000770084","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005748000770084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computer Supported Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2784382611","https://openalex.org/W2622249843","https://openalex.org/W3003508951","https://openalex.org/W1993915942","https://openalex.org/W1995187888","https://openalex.org/W3009849796","https://openalex.org/W2388181483","https://openalex.org/W2356329332","https://openalex.org/W2036355278","https://openalex.org/W2379323858"],"abstract_inverted_index":{"Discipline":[0],"evaluation":[1,55],"is":[2,22,78],"an":[3,41],"important":[4],"part":[5],"in":[6,17,89,101],"higher":[7],"education":[8],"evaluation.":[9],"It":[10,21,103],"plays":[11],"a":[12],"significant":[13],"role":[14],"in\r\n\r\ndiscipline":[15],"construction":[16],"universities":[18,86],"and":[19,36,57,82,87,110],"colleges.":[20],"challenging":[23],"how":[24],"to":[25,29,62],"use":[26],"scientific":[27],"discipline\r\n\r\nevaluation":[28],"classify":[30],"disciplines,":[31],"such":[32],"as":[33],"advantageous":[34],"disciplines":[35],"newly-emerging":[37],"ones.":[38],"This":[39],"paper\r\n\r\nproposes":[40],"algorithm":[42,81],"of":[43],"discipline":[44,108,114],"decision":[45,59,72],"tree":[46,60],"classification":[47,67,76],"based":[48],"on":[49],"weighted":[50,63],"information":[51,64],"gain":[52,65],"ratio.":[53],"It\r\n\r\ndetermines":[54],"attributes":[56],"creates":[58],"according":[61],"ratio.\r\n\r\nDiscipline":[66],"rules":[68],"are":[69],"deduced":[70],"by":[71],"tree.":[73],"An":[74],"automatic":[75],"system":[77],"developed,\r\n\r\nimplementing":[79],"the":[80],"analysing":[83],"data":[84],"from":[85],"colleges":[88],"Shanghai.":[90],"Experimental\r\n\r\nresults":[91],"show":[92],"that":[93],"our":[94],"scheme":[95],"can":[96],"achieve":[97],"about":[98],"83.33%":[99],"accuracy":[100],"forecasts.":[102],"provides":[104],"advice":[105],"and\r\n\r\nguidance":[106],"for":[107,113],"evaluation,":[109],"establishes":[111],"foundation":[112],"development":[115],"strategy.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
