{"id":"https://openalex.org/W2086052664","doi":"https://doi.org/10.1145/1741906.1742027","title":"Application of improved Apriori in University Library","display_name":"Application of improved Apriori in University Library","publication_year":2010,"publication_date":"2010-02-26","ids":{"openalex":"https://openalex.org/W2086052664","doi":"https://doi.org/10.1145/1741906.1742027","mag":"2086052664"},"language":"en","primary_location":{"id":"doi:10.1145/1741906.1742027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1742027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","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/A5065233149","display_name":"S. Shirgaonkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Shirgaonkar","raw_affiliation_strings":["TCET, Mumbai"],"affiliations":[{"raw_affiliation_string":"TCET, Mumbai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016355880","display_name":"T. M. Rajkumar","orcid":"https://orcid.org/0000-0002-7585-2043"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Rajkumar","raw_affiliation_strings":["TSEC, Mumbai"],"affiliations":[{"raw_affiliation_string":"TSEC, Mumbai","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074510103","display_name":"Vikram S\u0131ngh","orcid":"https://orcid.org/0000-0001-5757-9111"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Singh","raw_affiliation_strings":["TCET, Mumbai"],"affiliations":[{"raw_affiliation_string":"TCET, Mumbai","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065233149"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6937,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82981058,"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":"535","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9948999881744385,"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":0.9571999907493591,"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/apriori-algorithm","display_name":"Apriori algorithm","score":0.9382637143135071},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8456391096115112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7413332462310791},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7195866703987122},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.690542995929718},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.569261372089386},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4937361180782318},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4355069100856781},{"id":"https://openalex.org/keywords/affinity-analysis","display_name":"Affinity analysis","score":0.4190109968185425}],"concepts":[{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.9382637143135071},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8456391096115112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7413332462310791},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7195866703987122},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.690542995929718},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.569261372089386},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4937361180782318},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4355069100856781},{"id":"https://openalex.org/C23906176","wikidata":"https://www.wikidata.org/wiki/Q727515","display_name":"Affinity analysis","level":3,"score":0.4190109968185425},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1741906.1742027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1742027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W2104245259","https://openalex.org/W2139209853","https://openalex.org/W2140190241","https://openalex.org/W2153197868","https://openalex.org/W2166559705","https://openalex.org/W2374098404","https://openalex.org/W2913593077","https://openalex.org/W3204616723","https://openalex.org/W6628750762","https://openalex.org/W6682947246"],"related_works":["https://openalex.org/W2607264580","https://openalex.org/W2587896742","https://openalex.org/W4284697452","https://openalex.org/W1997795943","https://openalex.org/W4308793916","https://openalex.org/W3119453588","https://openalex.org/W1998540199","https://openalex.org/W1481792368","https://openalex.org/W3036124657","https://openalex.org/W4248176152"],"abstract_inverted_index":{"Data":[0],"mining":[1],"is":[2,36,62],"a":[3,37],"process":[4],"of":[5,59,67],"extracting":[6],"previously":[7],"unknown,":[8],"valid":[9],"and":[10,19,29,51],"actionable":[11],"information":[12,22],"from":[13],"large":[14],"database":[15],"or":[16],"data":[17,33],"warehouse":[18],"then":[20],"using":[21],"so":[23],"derived":[24],"to":[25,63],"make":[26],"crucial":[27],"business":[28],"strategic":[30],"decisions.":[31],"In":[32],"mining,":[34],"Apriori":[35,55,68],"classic":[38],"algorithm":[39],"for":[40],"learning":[41],"association":[42,47],"rules.":[43],"Agrawal":[44],"put":[45],"forth":[46],"rules":[48],"in":[49],"1993":[50],"introduced":[52],"the":[53,65],"famous":[54],"algorithm.":[56],"The":[57],"objective":[58],"this":[60],"research":[61],"improve":[64],"efficiency":[66],"Algorithm.":[69]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}