{"id":"https://openalex.org/W2172261845","doi":"https://doi.org/10.1109/iri.2004.1431511","title":"Association analysis for an online education system","display_name":"Association analysis for an online education system","publication_year":2005,"publication_date":"2005-05-24","ids":{"openalex":"https://openalex.org/W2172261845","doi":"https://doi.org/10.1109/iri.2004.1431511","mag":"2172261845"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2004.1431511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2004.1431511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004.","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/A5057087345","display_name":"Behrouz Minaei\u2010Bidgoli","orcid":"https://orcid.org/0000-0002-9327-7345"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"B. Minaei-Bidgoli","raw_affiliation_strings":["Computer Science Department, Michigan State University, East Lansing, MI, USA","[Department of Computer Science, Michigan State University, East Lansing, MI, USA]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"[Department of Computer Science, Michigan State University, East Lansing, MI, USA]","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048855408","display_name":"Gerd Kortemeyer","orcid":"https://orcid.org/0000-0001-6643-9428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Kortemeyer","raw_affiliation_strings":["Lyman Briggs College"],"affiliations":[{"raw_affiliation_string":"Lyman Briggs College","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089550786","display_name":"William F. Punch","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Punch","raw_affiliation_strings":["Computer Science Department, Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057087345"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.8053,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85672742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"504","last_page":"509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.991599977016449,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9394000172615051,"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/computer-science","display_name":"Computer science","score":0.8180098533630371},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8168942928314209},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6299849152565002},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5946020483970642},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5855684876441956},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5789883136749268},{"id":"https://openalex.org/keywords/web-mining","display_name":"Web mining","score":0.5361279249191284},{"id":"https://openalex.org/keywords/educational-data-mining","display_name":"Educational data mining","score":0.49393659830093384},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4772453308105469},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.461490273475647},{"id":"https://openalex.org/keywords/k-optimal-pattern-discovery","display_name":"K-optimal pattern discovery","score":0.4230871796607971},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4089561700820923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3858378529548645},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3432256579399109},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.2752547264099121},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1954033076763153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180098533630371},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8168942928314209},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6299849152565002},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5946020483970642},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5855684876441956},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5789883136749268},{"id":"https://openalex.org/C197046077","wikidata":"https://www.wikidata.org/wiki/Q785337","display_name":"Web mining","level":3,"score":0.5361279249191284},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.49393659830093384},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4772453308105469},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.461490273475647},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.4230871796607971},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4089561700820923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3858378529548645},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3432256579399109},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.2752547264099121},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1954033076763153},{"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/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/iri.2004.1431511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2004.1431511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W151889949","https://openalex.org/W157477790","https://openalex.org/W1484413656","https://openalex.org/W1486195850","https://openalex.org/W1539171341","https://openalex.org/W1545454577","https://openalex.org/W1549565124","https://openalex.org/W1571035772","https://openalex.org/W1970741763","https://openalex.org/W1978387271","https://openalex.org/W2091886223","https://openalex.org/W2105835753","https://openalex.org/W2120943950","https://openalex.org/W2136663836","https://openalex.org/W2150364563","https://openalex.org/W2166559705","https://openalex.org/W2768558118","https://openalex.org/W6606114848","https://openalex.org/W6606298195","https://openalex.org/W6628750762","https://openalex.org/W6677997503"],"related_works":["https://openalex.org/W2700330155","https://openalex.org/W2549557753","https://openalex.org/W753330326","https://openalex.org/W1994660869","https://openalex.org/W2090042797","https://openalex.org/W2351142401","https://openalex.org/W2117465961","https://openalex.org/W2051525169","https://openalex.org/W2134654067","https://openalex.org/W2027711578"],"abstract_inverted_index":{"An":[0],"important":[1],"goal":[2],"of":[3,25,62,74,98,105,138,145],"data":[4,17,26,31,107,156],"mining":[5,32,115,157],"is":[6,82,85,92,100,149],"to":[7,37,40],"discover":[8,41],"the":[9,13,60,139],"unobvious":[10],"relationships":[11],"among":[12],"objects":[14],"in":[15,94,153],"a":[16,57,67,96,106,111],"set.":[18,108],"Web-based":[19,68],"educational":[20,69],"systems":[21,122],"collect":[22],"vast":[23],"amounts":[24],"on":[27],"user":[28],"patterns,":[29],"and":[30,49,76,126,134],"methods":[33],"can":[34,119],"be":[35],"applied":[36],"these":[38,121],"databases":[39],"interesting":[42,63],"associations":[43],"between":[44],"student":[45],"attributes,":[46,48],"problem":[47],"solution":[50],"strategies.":[51],"In":[52],"this":[53,147],"paper,":[54],"we":[55],"propose":[56],"framework":[58],"for":[59,79,102,114,123,130],"discovery":[61],"association":[64,90],"rules":[65,117],"within":[66],"system.":[70],"A":[71,142],"hybrid":[72],"measure":[73,78],"subjective":[75],"objective":[77],"rule":[80,91],"interestingness":[81],"proposed":[83],"which":[84,95],"called":[86],"contrasting":[87,116],"rules.":[88],"Contrasting":[89],"one":[93],"conjunction":[97],"attributes":[99],"compared":[101],"complementary":[103],"subsections":[104],"We":[109],"provide":[110],"new":[112],"algorithm":[113],"that":[118],"improve":[120],"both":[124],"teachers":[125],"students":[127],"-":[128],"allowing":[129],"greater":[131],"learner":[132],"improvement":[133],"more":[135],"effective":[136],"evaluation":[137],"learning":[140],"process.":[141],"larger":[143],"advantage":[144],"developing":[146],"approach":[148],"its":[150],"wide":[151],"application":[152],"any":[154],"other":[155],"application.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
