{"id":"https://openalex.org/W1978824239","doi":"https://doi.org/10.1080/08839510701252486","title":"INCREMENTAL EXTRACTION OF ASSOCIATION RULES IN APPLICATIVE DOMAINS","display_name":"INCREMENTAL EXTRACTION OF ASSOCIATION RULES IN APPLICATIVE DOMAINS","publication_year":2007,"publication_date":"2007-04-25","ids":{"openalex":"https://openalex.org/W1978824239","doi":"https://doi.org/10.1080/08839510701252486","mag":"1978824239"},"language":"en","primary_location":{"id":"doi:10.1080/08839510701252486","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839510701252486","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5103213224","display_name":"Arianna Gallo","orcid":"https://orcid.org/0000-0003-1682-8964"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Arianna Gallo","raw_affiliation_strings":["[Dipartimento di Informatica, Universita di Torino, Torino, Italy]"],"affiliations":[{"raw_affiliation_string":"[Dipartimento di Informatica, Universita di Torino, Torino, Italy]","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971371","display_name":"Roberto Esposito","orcid":"https://orcid.org/0000-0001-5366-292X"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Esposito","raw_affiliation_strings":["[Dipartimento di Informatica, Universita di Torino, Torino, Italy]"],"affiliations":[{"raw_affiliation_string":"[Dipartimento di Informatica, Universita di Torino, Torino, Italy]","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055176140","display_name":"Rosa Meo","orcid":"https://orcid.org/0000-0002-0434-4850"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rosa Meo","raw_affiliation_strings":["[Dipartimento di Informatica, Universita di Torino, Torino, Italy]"],"affiliations":[{"raw_affiliation_string":"[Dipartimento di Informatica, Universita di Torino, Torino, Italy]","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011448484","display_name":"Marco Botta","orcid":"https://orcid.org/0000-0003-2747-8517"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Botta","raw_affiliation_strings":["[Dipartimento di Informatica, Universita di Torino, Torino, Italy]"],"affiliations":[{"raw_affiliation_string":"[Dipartimento di Informatica, Universita di Torino, Torino, Italy]","institution_ids":["https://openalex.org/I55143463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103213224"],"corresponding_institution_ids":["https://openalex.org/I55143463"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.7913,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83026253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":"4-5","first_page":"297","last_page":"315"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9029704928398132},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6193273663520813},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5387780070304871},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5296832323074341},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5035952925682068},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.48206645250320435},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4641951322555542},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4611433148384094},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4534547030925751},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44745275378227234},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41728031635284424},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38039159774780273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3261964023113251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.283338725566864},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0956035852432251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9029704928398132},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6193273663520813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5387780070304871},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5296832323074341},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5035952925682068},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.48206645250320435},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4641951322555542},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4611433148384094},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4534547030925751},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44745275378227234},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41728031635284424},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38039159774780273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3261964023113251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.283338725566864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0956035852432251},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839510701252486","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839510701252486","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W346507350","https://openalex.org/W1506285740","https://openalex.org/W1524454721","https://openalex.org/W1538285186","https://openalex.org/W1539916429","https://openalex.org/W1553696291","https://openalex.org/W1585646276","https://openalex.org/W1597161471","https://openalex.org/W1604968512","https://openalex.org/W1648759563","https://openalex.org/W1673774254","https://openalex.org/W1965731052","https://openalex.org/W1983506100","https://openalex.org/W2003262311","https://openalex.org/W2032226242","https://openalex.org/W2052629503","https://openalex.org/W2058581741","https://openalex.org/W2064853889","https://openalex.org/W2077041275","https://openalex.org/W2085638007","https://openalex.org/W2102936290","https://openalex.org/W2114624736","https://openalex.org/W2118017131","https://openalex.org/W2125714474","https://openalex.org/W2126256482","https://openalex.org/W2126400629","https://openalex.org/W2134419643","https://openalex.org/W2149934057","https://openalex.org/W2756666283","https://openalex.org/W4212848460","https://openalex.org/W4245058889","https://openalex.org/W4250802407","https://openalex.org/W4252403066"],"related_works":["https://openalex.org/W2347219288","https://openalex.org/W2391600839","https://openalex.org/W1987706094","https://openalex.org/W2152087638","https://openalex.org/W2623643025","https://openalex.org/W2145261685","https://openalex.org/W1969663039","https://openalex.org/W1625957841","https://openalex.org/W1513313021","https://openalex.org/W2900283543"],"abstract_inverted_index":{"In":[0,124,162],"recent":[1],"years,":[2],"the":[3,19,39,41,44,56,71,78,103,108,118,129,182,228],"KDD":[4,72,86],"process":[5],"has":[6],"been":[7],"advocated":[8],"to":[9,26,76,84,91],"be":[10],"an":[11,153,232],"iterative":[12],"and":[13,63,208,238],"interactive":[14],"process.":[15],"It":[16],"is":[17,24,96,107,166,235],"seldom":[18],"case":[20],"that":[21,88,155,191,227],"a":[22,35,142,169,219],"user":[23,46],"able":[25,90],"answer":[27],"immediately":[28],"all":[29],"his":[30],"questions":[31],"on":[32,113],"date":[33],"with":[34,218,231],"single":[36],"query.":[37],"On":[38],"contrary,":[40],"work-flow":[42],"of":[43,48,70,110,121,131,172,195,205,221],"typical":[45,193],"consists":[47],"several":[49],"steps":[50],"in":[51,74,99,101,211,223],"which":[52,102,177],"he/she":[53],"iteratively":[54],"refines":[55],"extracted":[57],"knowledge":[58,105],"by":[59,117],"inspecting":[60],"previous":[61],"results":[62],"posing":[64],"new":[65,170],"queries.":[66],"Given":[67],"this":[68,125,148,164],"view":[69],"process,":[73],"order":[75],"reduce":[77],"computational":[79],"effort,":[80],"it":[81],"becomes":[82],"crucial":[83],"have":[85,213],"systems":[87],"are":[89,178],"exploit":[92],"past":[93,160],"results.":[94,161],"This":[95],"especially":[97],"true":[98],"environments":[100],"system":[104],"base":[106],"result":[109],"many":[111],"discoveries":[112],"data":[114],"made":[115],"separately":[116],"collaborative":[119],"effort":[120],"different":[122],"users.":[123],"paper,":[126],"we":[127,151,189],"consider":[128],"problem":[130],"mining":[132,145],"frequent":[133],"association":[134],"rules":[135],"from":[136],"database":[137],"relations.":[138],"We":[139,216],"first":[140],"model":[141],"general,":[143],"constraint-based,":[144],"language":[146],"for":[147,168],"task.":[149],"Then,":[150],"propose":[152],"algorithm":[154],"answers":[156],"such":[157,199],"queries":[158,194],"reusing":[159],"particular,":[163],"solution":[165,230],"effective":[167,237],"class":[171],"constraints,":[173],"called":[174],"context":[175],"dependent,":[176],"more":[179],"difficult":[180],"than":[181],"traditionally":[183],"studied":[184],"item":[185],"dependent":[186],"constraints.":[187,215],"Nevertheless,":[188],"show":[190,217],"some":[192],"important":[196],"application":[197,225],"domains,":[198],"as":[200],"market":[201],"stock":[202],"trading,":[203],"analysis":[204],"web":[206],"log,":[207],"gene":[209],"microarrays":[210],"bioinformatics,":[212],"context-dependent":[214],"set":[220],"experiments":[222],"these":[224],"domains":[226],"proposed":[229],"incremental":[233],"approach":[234],"both":[236],"viable.":[239]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}