{"id":"https://openalex.org/W2913433920","doi":"https://doi.org/10.4018/ijdsst.2019040101","title":"Inventory Classification Using Multi-Level Association Rule Mining","display_name":"Inventory Classification Using Multi-Level Association Rule Mining","publication_year":2019,"publication_date":"2019-02-13","ids":{"openalex":"https://openalex.org/W2913433920","doi":"https://doi.org/10.4018/ijdsst.2019040101","mag":"2913433920"},"language":"en","primary_location":{"id":"doi:10.4018/ijdsst.2019040101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijdsst.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S204805982","display_name":"International Journal of Decision Support System Technology","issn_l":"1941-6296","issn":["1941-6296","1941-630X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Decision Support System Technology","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/A5015028309","display_name":"Reshu Agarwal","orcid":"https://orcid.org/0000-0002-7106-6141"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reshu Agarwal","raw_affiliation_strings":["G L Bajaj Institute of Technology and Management, Greater Noida, India"],"raw_orcid":"https://orcid.org/0000-0002-7106-6141","affiliations":[{"raw_affiliation_string":"G L Bajaj Institute of Technology and Management, Greater Noida, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070353901","display_name":"Mandeep Mittal","orcid":"https://orcid.org/0000-0002-7501-6571"},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mandeep Mittal","raw_affiliation_strings":["Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India"],"raw_orcid":"https://orcid.org/0000-0002-7501-6571","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India","institution_ids":["https://openalex.org/I191972202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.348,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.96557312,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9936000108718872,"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":0.9793000221252441,"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":0.8505597114562988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6898272037506104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5434882640838623},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.4293662905693054},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3509460687637329},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3381511867046356}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8505597114562988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898272037506104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5434882640838623},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.4293662905693054},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3509460687637329},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3381511867046356},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijdsst.2019040101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijdsst.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S204805982","display_name":"International Journal of Decision Support System Technology","issn_l":"1941-6296","issn":["1941-6296","1941-630X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Decision Support System Technology","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdsst0:v:11:y:2019:i:2:p:1-12","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1495951130","https://openalex.org/W1578959085","https://openalex.org/W1979943645","https://openalex.org/W1994117419","https://openalex.org/W1998368360","https://openalex.org/W2044313217","https://openalex.org/W2056736038","https://openalex.org/W2068986562","https://openalex.org/W2073184692","https://openalex.org/W2087668167","https://openalex.org/W2094902723","https://openalex.org/W2110266916","https://openalex.org/W2120610831","https://openalex.org/W2125102028","https://openalex.org/W2125551815","https://openalex.org/W2143451056","https://openalex.org/W2166559705","https://openalex.org/W2170697788","https://openalex.org/W2216483299","https://openalex.org/W2253069178","https://openalex.org/W2492177525","https://openalex.org/W3039539181","https://openalex.org/W4237475704","https://openalex.org/W6780396083"],"related_works":["https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560","https://openalex.org/W2110683262","https://openalex.org/W2375024673"],"abstract_inverted_index":{"Popular":[0],"data":[1,24],"mining":[2,52,59],"methods":[3],"support":[4],"knowledge":[5,46],"discovery":[6],"from":[7,47],"patterns":[8],"that":[9],"hold":[10],"in":[11,150],"relations.":[12],"For":[13],"many":[14],"applications,":[15],"it":[16],"is":[17,53,82,93,99,136],"difficult":[18],"to":[19,41,101,110,120,128,138,143],"find":[20],"strong":[21],"associations":[22],"among":[23],"items":[25,64,92,104],"at":[26,36,65,72,105],"low":[27],"or":[28],"primitive":[29],"levels":[30,38],"of":[31,56,90,147],"abstraction.":[32],"Mining":[33],"association":[34,50,57],"rules":[35],"multiple":[37],"may":[39],"lead":[40],"more":[42],"informative":[43],"and":[44,114,132],"refined":[45],"data.":[48],"Multi-level":[49],"rule":[51,58],"a":[54],"variation":[55],"for":[60],"finding":[61],"relationships":[62],"between":[63],"each":[66,85,106],"level":[67,107],"by":[68],"applying":[69],"different":[70,73],"thresholds":[71],"levels.":[74],"In":[75],"this":[76],"study,":[77],"an":[78],"inventory":[79,118],"classification":[80],"policy":[81],"provided.":[83],"At":[84],"level,":[86],"the":[87,122,140,145,151,158],"loss":[88,97],"profit":[89,98],"frequent":[91,103],"determined.":[94],"The":[95],"obtained":[96],"used":[100],"rank":[102],"with":[108,126],"respect":[109,127],"their":[111,129],"category,":[112,130],"content":[113,131],"brand.":[115,133],"This":[116],"helps":[117],"manager":[119],"determine":[121],"most":[123],"profitable":[124],"item":[125],"An":[134],"example":[135],"illustrated":[137],"validate":[139],"results.":[141],"Further,":[142],"comprehend":[144],"impact":[146],"above":[148],"approach":[149],"real":[152],"scenario,":[153],"experiments":[154],"are":[155],"conducted":[156],"on":[157],"exiting":[159],"dataset.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}