{"id":"https://openalex.org/W2096010809","doi":"https://doi.org/10.1109/mipro.2015.7160418","title":"Mining association rules in learning management systems","display_name":"Mining association rules in learning management systems","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2096010809","doi":"https://doi.org/10.1109/mipro.2015.7160418","mag":"2096010809"},"language":"en","primary_location":{"id":"doi:10.1109/mipro.2015.7160418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mipro.2015.7160418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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/A5062768743","display_name":"M. Perusic Hrzenjak","orcid":null},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"M. Perusic Hrzenjak","raw_affiliation_strings":["Sveuciliste u Rijeci, Rijeka, HR","Dept. of Inf., Univ. of Rijeka, Rijeka, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sveuciliste u Rijeci, Rijeka, HR","institution_ids":["https://openalex.org/I154347574"]},{"raw_affiliation_string":"Dept. of Inf., Univ. of Rijeka, Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057549386","display_name":"Maja Mateti\u0107","orcid":"https://orcid.org/0000-0003-4571-1546"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"M. Matetic","raw_affiliation_strings":["Department of Informatics, University of Rijeka, Rijeka, Croatia","Dept of Informatics, University of Rijeka, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Rijeka, Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]},{"raw_affiliation_string":"Dept of Informatics, University of Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045912867","display_name":"Marija Brki\u0107 Bakari\u0107","orcid":"https://orcid.org/0000-0003-4079-4012"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"M. Brkic Bakaric","raw_affiliation_strings":["Department of Informatics, University of Rijeka, Rijeka, Croatia","Dept of Informatics, University of Rijeka, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Rijeka, Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]},{"raw_affiliation_string":"Dept of Informatics, University of Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154347574"],"apc_list":null,"apc_paid":null,"fwci":0.824,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81704931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"986","last_page":"991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T11122","display_name":"Online Learning and Analytics","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9229000210762024,"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/association-rule-learning","display_name":"Association rule learning","score":0.878258228302002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.79243004322052},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.6339101195335388},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6318405866622925},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5921722054481506},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5188411474227905},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4929239749908447},{"id":"https://openalex.org/keywords/educational-data-mining","display_name":"Educational data mining","score":0.44852393865585327},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.44220975041389465},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.430732786655426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3816378712654114}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.878258228302002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79243004322052},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.6339101195335388},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6318405866622925},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5921722054481506},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5188411474227905},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4929239749908447},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.44852393865585327},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.44220975041389465},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.430732786655426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3816378712654114},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mipro.2015.7160418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mipro.2015.7160418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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":26,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1499502868","https://openalex.org/W1515294235","https://openalex.org/W1520890006","https://openalex.org/W1597561788","https://openalex.org/W1744527650","https://openalex.org/W2035700923","https://openalex.org/W2037965136","https://openalex.org/W2138334515","https://openalex.org/W2148693963","https://openalex.org/W2150364563","https://openalex.org/W2163598528","https://openalex.org/W2166559705","https://openalex.org/W2496617239","https://openalex.org/W2768558118","https://openalex.org/W2937690641","https://openalex.org/W2992675550","https://openalex.org/W6628750762","https://openalex.org/W6630749197","https://openalex.org/W6635637936","https://openalex.org/W6637602393","https://openalex.org/W6681989899","https://openalex.org/W6684327724","https://openalex.org/W6723334193","https://openalex.org/W6746596694","https://openalex.org/W6771079356"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2297208791","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W3012205960","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W1483188779"],"abstract_inverted_index":{"Learning":[0],"management":[1],"systems":[2],"collect":[3],"huge":[4],"amounts":[5],"of":[6,15,62,123],"data":[7,39,46,115],"that":[8,91,150],"can":[9,47,53],"later":[10],"be":[11,48,54,153],"analysed.":[12],"The":[13,45],"University":[14],"Rijeka":[16],"uses":[17],"MudRi":[18,86],"e-learning":[19],"system,":[20],"which":[21,38,106,144],"is":[22,111,126],"based":[23,74],"on":[24,33,75,148],"the":[25,34,60,68,76,81,85,100,112,121,157],"Moodle":[26],"open":[27],"source":[28],"software.":[29],"This":[30],"paper":[31],"focuses":[32],"Programming":[35],"course,":[36],"for":[37,58,72,120,128],"over":[40],"several":[41],"years":[42],"are":[43,142],"available.":[44],"interpreted":[49],"and":[50,56,78,134,140],"valuable":[51],"knowledge":[52],"obtained":[55],"used":[57,127],"improving":[59],"quality":[61],"lectures,":[63],"as":[64,66],"well":[65],"making":[67],"lectures":[69],"more":[70],"suitable":[71,114],"students":[73],"actions":[77,133,149],"material":[79],"deemed":[80],"most":[82,113],"popular.":[83],"Since":[84],"database":[87],"contains":[88],"many":[89],"facts":[90],"might":[92,98],"affect":[93,99],"each":[94],"other":[95],"(e.g.":[96],"homework":[97],"final":[101,135],"grade),":[102],"association":[103,124],"rule":[104],"mining,":[105],"discovers":[107],"regularities":[108],"in":[109,154],"data,":[110],"mining":[116],"method.":[117],"Apriori":[118],"algorithm":[119],"discovery":[122],"rules":[125,139],"finding":[129],"connections":[130],"between":[131],"various":[132],"grades.":[136],"Many":[137],"interesting":[138],"information":[141],"discovered,":[143],"lead":[145],"to":[146,152],"conclusions":[147],"seem":[151],"relation":[155],"with":[156],"course":[158],"success.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}