{"id":"https://openalex.org/W1542814389","doi":"https://doi.org/10.1007/978-3-642-57489-4_56","title":"Growing and Visualizing Prediction Paths Trees in Market Basket Analysis","display_name":"Growing and Visualizing Prediction Paths Trees in Market Basket Analysis","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1542814389","doi":"https://doi.org/10.1007/978-3-642-57489-4_56","mag":"1542814389"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-57489-4_56","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_56","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"},"type":"book-chapter","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/A5069892096","display_name":"Massimo Aria","orcid":"https://orcid.org/0000-0002-8517-9411"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Massimo Aria","raw_affiliation_strings":["Dipartimento di Matematica e Statistica, Universit\u00e0 di Napoli Federico II, Italia via Cintia, Monte S. Angelo, Napoli, I-80126, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica e Statistica, Universit\u00e0 di Napoli Federico II, Italia via Cintia, Monte S. Angelo, Napoli, I-80126, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044745972","display_name":"Francesco Mol\u00e0","orcid":"https://orcid.org/0000-0001-6076-1600"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Mola","raw_affiliation_strings":["Dipartimento di Economia, Universit\u00e0 di Cagliari, Italia Viale Fra\u2019 Ignazio, I-90123, Cagliari, Italy","Dipartimento di Economia, Universit\u00e0 di Cagliari, Italia Viale Fra' Ignazio, I-90123, Cagliari, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Economia, Universit\u00e0 di Cagliari, Italia Viale Fra\u2019 Ignazio, I-90123, Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]},{"raw_affiliation_string":"Dipartimento di Economia, Universit\u00e0 di Cagliari, Italia Viale Fra' Ignazio, I-90123, Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069989968","display_name":"Roberta Siciliano","orcid":"https://orcid.org/0000-0002-8012-0461"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roberta Siciliano","raw_affiliation_strings":["Dipartimento di Matematica e Statistica, Universit\u00e0 di Napoli Federico II, Italia via Cintia, Monte S. Angelo, Napoli, I-80126, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica e Statistica, Universit\u00e0 di Napoli Federico II, Italia via Cintia, Monte S. Angelo, Napoli, I-80126, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069892096"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3056,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65144864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9779000282287598,"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/affinity-analysis","display_name":"Affinity analysis","score":0.7395771145820618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6311243772506714},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5644286274909973},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5195827484130859},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.480633407831192},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4711562395095825},{"id":"https://openalex.org/keywords/market-basket","display_name":"Market basket","score":0.4286808669567108},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41161614656448364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4100072383880615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37595367431640625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3344801068305969},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.24179837107658386},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20261064171791077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19965171813964844},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.1423695981502533},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07983487844467163},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07446333765983582}],"concepts":[{"id":"https://openalex.org/C23906176","wikidata":"https://www.wikidata.org/wiki/Q727515","display_name":"Affinity analysis","level":3,"score":0.7395771145820618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311243772506714},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5644286274909973},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5195827484130859},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.480633407831192},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4711562395095825},{"id":"https://openalex.org/C2779008359","wikidata":"https://www.wikidata.org/wiki/Q1758955","display_name":"Market basket","level":2,"score":0.4286808669567108},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41161614656448364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4100072383880615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37595367431640625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3344801068305969},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.24179837107658386},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20261064171791077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19965171813964844},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.1423695981502533},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07983487844467163},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07446333765983582},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-57489-4_56","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_56","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W7074178","https://openalex.org/W231029649","https://openalex.org/W294072546","https://openalex.org/W642811744","https://openalex.org/W1553696291","https://openalex.org/W1605906394","https://openalex.org/W2072154218","https://openalex.org/W2141320965","https://openalex.org/W2765992524","https://openalex.org/W4212848460","https://openalex.org/W6633402183"],"related_works":["https://openalex.org/W2780247929","https://openalex.org/W4308793916","https://openalex.org/W4214596328","https://openalex.org/W2165877308","https://openalex.org/W2461505895","https://openalex.org/W2185734493","https://openalex.org/W2464616435","https://openalex.org/W4388564619","https://openalex.org/W2985738379","https://openalex.org/W3198793855"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"a":[3],"new":[4],"approach":[5],"to":[6,35,50],"Market":[7],"Basket":[8],"Analysis":[9],"taking":[10],"as":[11],"measure":[12],"unit":[13],"the":[14,21,37,64],"monetary":[15],"value":[16],"of":[17,25],"each":[18],"choice":[19],"in":[20,33,48],"transaction.":[22],"Furthermore,":[23],"instead":[24],"association":[26],"rules":[27,30],"suitable":[28],"prediction":[29],"are":[31],"defined":[32],"order":[34,49],"consider":[36],"causal":[38],"links":[39],"between":[40],"different":[41,68],"items.":[42],"Two":[43],"methodologies":[44],"will":[45],"be":[46],"presented":[47],"grow":[51],"predictive":[52],"paths":[53],"through":[54],"oriented":[55],"graphs":[56],"(either":[57],"trees":[58],"and":[59],"neural":[60],"networks)":[61],"which":[62],"facilitate":[63],"visual":[65],"comparison":[66],"among":[67],"basket":[69],"typologies.":[70]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}