{"id":"https://openalex.org/W1971365363","doi":"https://doi.org/10.1109/icacci.2013.6637155","title":"Domain driven approach for coherent rule mining","display_name":"Domain driven approach for coherent rule mining","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1971365363","doi":"https://doi.org/10.1109/icacci.2013.6637155","mag":"1971365363"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058168844","display_name":"Arti Deshpande","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146358","display_name":"Raisoni Group of Institutions","ror":"https://ror.org/03dp11s58","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210146358"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arti Deshpande","raw_affiliation_strings":["Department of Computer Engineering, G.H. Raisoni College of Engineering, Nagpur, India","Dept. of Comput. Eng., G.H. Raisoni Coll. of Eng., Nagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, G.H. Raisoni College of Engineering, Nagpur, India","institution_ids":["https://openalex.org/I4210146358"]},{"raw_affiliation_string":"Dept. of Comput. Eng., G.H. Raisoni Coll. of Eng., Nagpur, India","institution_ids":["https://openalex.org/I4210146358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091378651","display_name":"Anjali Mahajan","orcid":"https://orcid.org/0000-0002-9885-8691"},"institutions":[{"id":"https://openalex.org/I206816349","display_name":"Nagpur Institute of Technology","ror":"https://ror.org/04yw73836","country_code":"IN","type":"education","lineage":["https://openalex.org/I206816349"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjali Mahajan","raw_affiliation_strings":["Department of Computer Science & Engineering, PIET, Nagpur, India","Dept. of Comput. Sci. & Eng., PIET, Nagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, PIET, Nagpur, India","institution_ids":["https://openalex.org/I206816349"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., PIET, Nagpur, India","institution_ids":["https://openalex.org/I206816349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035477598","display_name":"Apurva Kulkarni","orcid":"https://orcid.org/0000-0002-9215-2049"},"institutions":[{"id":"https://openalex.org/I899992584","display_name":"Piramal (India)","ror":"https://ror.org/00vj60w13","country_code":"IN","type":"company","lineage":["https://openalex.org/I899992584"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Apurva Kulkarni","raw_affiliation_strings":["Dept of Computer Engineering, Thadomal Shahani Engineering College, Mumbai, India","Department of Computer Engineering, Thadomal Shahani Engineering College                 #R##N#Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Computer Engineering, Thadomal Shahani Engineering College, Mumbai, India","institution_ids":["https://openalex.org/I899992584"]},{"raw_affiliation_string":"Department of Computer Engineering, Thadomal Shahani Engineering College                 #R##N#Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007122952","display_name":"Sayali Sakhalkar","orcid":null},"institutions":[{"id":"https://openalex.org/I899992584","display_name":"Piramal (India)","ror":"https://ror.org/00vj60w13","country_code":"IN","type":"company","lineage":["https://openalex.org/I899992584"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sayali Sakhalkar","raw_affiliation_strings":["Dept of Computer Engineering, Thadomal Shahani Engineering College, Mumbai, India","Department of Computer Engineering, Thadomal Shahani Engineering College                 #R##N#Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Computer Engineering, Thadomal Shahani Engineering College, Mumbai, India","institution_ids":["https://openalex.org/I899992584"]},{"raw_affiliation_string":"Department of Computer Engineering, Thadomal Shahani Engineering College                 #R##N#Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5033,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58665225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"114"},"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":0.9957000017166138,"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/T11106","display_name":"Data Management and Algorithms","score":0.9358000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.757432222366333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.666661262512207},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6536873579025269},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6364122629165649},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5579617023468018},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5561316609382629},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5341300964355469},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4809688627719879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4369357228279114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3553931713104248},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22953790426254272}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.757432222366333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666661262512207},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6536873579025269},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6364122629165649},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5579617023468018},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5561316609382629},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5341300964355469},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4809688627719879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4369357228279114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3553931713104248},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22953790426254272},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W4356415","https://openalex.org/W1533538147","https://openalex.org/W1602316634","https://openalex.org/W2000106226","https://openalex.org/W2026562765","https://openalex.org/W2037965136","https://openalex.org/W2140190241","https://openalex.org/W2150710989","https://openalex.org/W2150863269","https://openalex.org/W2157792207","https://openalex.org/W2161755120","https://openalex.org/W2166559705","https://openalex.org/W2998574808","https://openalex.org/W6600177340","https://openalex.org/W6631883785"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W3012205960","https://openalex.org/W2079402849","https://openalex.org/W2359717995","https://openalex.org/W1561334777","https://openalex.org/W2338045944"],"abstract_inverted_index":{"In":[0,144],"Association":[1],"Rule":[2,202],"Mining,":[3],"minimum":[4,42,90,141],"support":[5,43,74,91,142],"threshold":[6,16,44,75],"is":[7,17,37,185],"used":[8],"to":[9,68,109,116,160,176],"get":[10],"the":[11,28,31,46,82,111,130,140,145,149,154,162,172,177,188,198,207],"association":[12,34,50],"rules.":[13,35,158],"Deciding":[14],"this":[15,87,183],"quite":[18],"a":[19,24,78,96],"difficult":[20],"task":[21],"and":[22,30,70,106,120,135,164,182],"has":[23],"great":[25],"influence":[26],"on":[27,89,129],"number":[29,48],"quality":[32],"of":[33,40,49,60,113,132,148,156,174,179,190,200],"There":[36],"no":[38],"chance":[39],"neglecting":[41],"as":[45],"large":[47],"rules":[51,56,65,122,181],"generated":[52],"missed":[53],"some":[54],"interesting":[55,118],"discovered.":[57],"The":[58],"process":[59],"decision":[61],"making":[62],"with":[63,187],"these":[64],"may":[66],"lead":[67],"undesirable":[69],"unexpected":[71],"results.":[72],"Minimum":[73],"thus":[76,136],"played":[77],"vital":[79],"role":[80],"in":[81],"entire":[83],"process.":[84],"To":[85],"remove":[86],"dependency":[88],"threshold,":[92],"we":[93,151,169,194],"have":[94,152,170,195],"proposed":[95],"framework":[97,178],"which":[98,125,204],"contains":[99],"domain":[100],"knowledge":[101],"method,":[102],"feature":[103,173,184],"selection":[104],"method":[105],"pruning":[107],"technique":[108],"reduce":[110,161],"complexity":[112,163],"coherent":[114,157,180],"algorithm":[115],"discover":[117],"positive":[119],"negative":[121],"for":[123],"business":[124],"are":[126],"discovered":[127],"based":[128],"properties":[131],"propositional":[133],"logic":[134],"do":[137],"not":[138],"require":[139],"threshold.":[143],"initial":[146],"part":[147],"paper,":[150],"explained":[153],"formation":[155],"Later,":[159],"make":[165],"it":[166],"more":[167],"efficient":[168],"added":[171],"domain-driven":[175],"demonstrated":[186],"help":[189],"implemented":[191],"example.":[192],"Further":[193],"also":[196],"introduced":[197],"concept":[199],"Combined":[201],"Mining":[203],"further":[205],"enhances":[206],"results":[208],"generated.":[209]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}