{"id":"https://openalex.org/W2952924068","doi":"https://doi.org/10.1108/lht-09-2018-0131","title":"Research of data mining and web technology in university discipline construction decision support system based on MVC model","display_name":"Research of data mining and web technology in university discipline construction decision support system based on MVC model","publication_year":2019,"publication_date":"2019-06-08","ids":{"openalex":"https://openalex.org/W2952924068","doi":"https://doi.org/10.1108/lht-09-2018-0131","mag":"2952924068"},"language":"en","primary_location":{"id":"doi:10.1108/lht-09-2018-0131","is_oa":false,"landing_page_url":"https://doi.org/10.1108/lht-09-2018-0131","pdf_url":null,"source":{"id":"https://openalex.org/S143568823","display_name":"Library Hi Tech","issn_l":"0737-8831","issn":["0737-8831","2054-166X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Library Hi Tech","raw_type":"journal-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/A5090196409","display_name":"Zhaokun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaokun Huang","raw_affiliation_strings":["School of Public Affairs, Henan University of Economics and Law, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Public Affairs, Henan University of Economics and Law, Zhengzhou, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yufang Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufang Liang","raw_affiliation_strings":["School of Public Affairs, Henan University of Economics and Law, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Public Affairs, Henan University of Economics and Law, Zhengzhou, China","institution_ids":["https://openalex.org/I7726996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090196409"],"corresponding_institution_ids":["https://openalex.org/I7726996"],"apc_list":null,"apc_paid":null,"fwci":2.4266,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89904685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"38","issue":"3","first_page":"610","last_page":"624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7593073844909668},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6575796604156494},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6469064950942993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6376519203186035},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.6164148449897766},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.5475408434867859},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.5310208201408386},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48613712191581726},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.4614810347557068},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4328831136226654},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.41620007157325745},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4114258289337158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32931843400001526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593073844909668},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6575796604156494},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6469064950942993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6376519203186035},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.6164148449897766},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5475408434867859},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.5310208201408386},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48613712191581726},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.4614810347557068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4328831136226654},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.41620007157325745},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4114258289337158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32931843400001526},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/lht-09-2018-0131","is_oa":false,"landing_page_url":"https://doi.org/10.1108/lht-09-2018-0131","pdf_url":null,"source":{"id":"https://openalex.org/S143568823","display_name":"Library Hi Tech","issn_l":"0737-8831","issn":["0737-8831","2054-166X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Library Hi Tech","raw_type":"journal-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/W2045310663","https://openalex.org/W2080817687","https://openalex.org/W2112456722","https://openalex.org/W2167045087","https://openalex.org/W2213314140","https://openalex.org/W2253181266","https://openalex.org/W2263477716","https://openalex.org/W2305786759","https://openalex.org/W2364626529","https://openalex.org/W2462530867","https://openalex.org/W2473549412","https://openalex.org/W2545812268","https://openalex.org/W2569712453","https://openalex.org/W2581179626","https://openalex.org/W2751512204","https://openalex.org/W2783985680","https://openalex.org/W2790246571"],"related_works":["https://openalex.org/W1982169401","https://openalex.org/W4243803609","https://openalex.org/W2591672004","https://openalex.org/W4385640509","https://openalex.org/W4302004071","https://openalex.org/W2087668131","https://openalex.org/W4293786841","https://openalex.org/W2120748120","https://openalex.org/W3200192427","https://openalex.org/W1603140234"],"abstract_inverted_index":{"Purpose":[0],"Taking":[1],"the":[2,10,15,26,47,54,57,67,73,79,83,94,106,111,115,119,125,133,141,191,203,208,212,216,222,230,238],"discipline":[3,169,266],"construction":[4,170,267],"in":[5,102,171,199,268],"colleges":[6,172,269],"and":[7,21,99,140,173,181,196,237,270,277],"universities":[8,174,271],"as":[9,53],"application":[11],"background,":[12],"based":[13,92,149,189,246],"on":[14,17,46,93,150,190,247],"research":[16],"data":[18,27,55,62,138,142,235,239],"mining":[19,63,143,240],"technology":[20],"decision":[22,58,70,84,88,107,134,165,185,204,231,262],"support":[23,135,166,232,263],"system":[24,33,136,154,163,167,233,251,260,264],"technology,":[25],"generated":[28],"by":[29,146,243],"university":[30,147,244],"management":[31],"information":[32],"are":[34],"effectively":[35],"utilized.":[36],"The":[37],"paper":[38],"aims":[39],"to":[40,78,104,123,201,220],"discuss":[41],"these":[42],"issues.":[43],"Design/methodology/approach":[44],"Based":[45],"Beijing":[48],"Key":[49],"Discipline":[50],"Information":[51],"Platform":[52],"source,":[56],"tree":[59,71,89,186],"algorithm":[60,91,120,144,188,217,241],"of":[61,69,82,114,128,164,211,225,261],"is":[64,76,97,121,158,179,194,218,255,275],"studied.":[65],"On":[66],"basis":[68],"C4.5,":[72],"Bayesian":[74,95,192],"theory":[75,96,193],"applied":[77],"post-pruning":[80,90,187],"operation":[81],"tree.":[85],"Findings":[86],"A":[87,184],"studied":[98,195],"put":[100,197],"forward":[101,198],"order":[103,200],"simplify":[105,202],"tree,":[108,205],"which":[109,206],"improves":[110,207],"generalization":[112,209],"ability":[113,210],"whole":[116,213],"algorithm.":[117,214],"Finally,":[118,215],"used":[122,219],"build":[124,221],"prediction":[126,223],"model":[127,157,224,254],"key":[129,226],"disciplines.":[130,227],"Combined":[131,228],"with":[132,175,229,272],"architecture,":[137,234],"warehouse":[139,236],"constructed":[145,242],"discipline,":[148,245],"J2EE":[151,248],"standard":[152,249],"enterprise":[153,250],"specification,":[155,252],"MVC":[156,253],"applied.":[159,256],"Moreover,":[160,257],"a":[161,258],"prototype":[162,259],"for":[168,265],"browser/server":[176],"(B/S)":[177],"structure":[178,274],"completed":[180,276],"implemented.":[182,278],"Originality/value":[183],"B/S":[273]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}