{"id":"https://openalex.org/W2015992338","doi":"https://doi.org/10.1007/s11634-014-0193-3","title":"Pruning boxes in a box-based classification method","display_name":"Pruning boxes in a box-based classification method","publication_year":2014,"publication_date":"2014-12-16","ids":{"openalex":"https://openalex.org/W2015992338","doi":"https://doi.org/10.1007/s11634-014-0193-3","mag":"2015992338"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-014-0193-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-014-0193-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","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/A5025322632","display_name":"Vincenzo Spinelli","orcid":null},"institutions":[{"id":"https://openalex.org/I1341049462","display_name":"National Institute of Statistics","ror":"https://ror.org/05a5k9h08","country_code":"IT","type":"facility","lineage":["https://openalex.org/I1341049462"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Vincenzo Spinelli","raw_affiliation_strings":["Istat, Istituto Nazionale di Statistica, Via Tuscolana 1788, 00173, Rome, Italy","Istat-Istituto Nazionale di Statistica, Rome, Italy 00173#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istat, Istituto Nazionale di Statistica, Via Tuscolana 1788, 00173, Rome, Italy","institution_ids":["https://openalex.org/I1341049462"]},{"raw_affiliation_string":"Istat-Istituto Nazionale di Statistica, Rome, Italy 00173#TAB#","institution_ids":["https://openalex.org/I1341049462"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025322632"],"corresponding_institution_ids":["https://openalex.org/I1341049462"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.07739805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":"3","first_page":"285","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9868000149726868,"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/pruning","display_name":"Pruning","score":0.8204118609428406},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7028725147247314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6238089203834534},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5736228823661804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5361279249191284},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5246665477752686},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5095265507698059},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.46393492817878723},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.44715145230293274},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4355784058570862},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42630642652511597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3725261688232422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32894718647003174}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8204118609428406},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7028725147247314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238089203834534},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5736228823661804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5361279249191284},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5246665477752686},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5095265507698059},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.46393492817878723},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.44715145230293274},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4355784058570862},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42630642652511597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3725261688232422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32894718647003174},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-014-0193-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-014-0193-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:10:y:2016:i:3:d:10.1007_s11634-014-0193-3","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-014-0193-3","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":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W4368930","https://openalex.org/W23418094","https://openalex.org/W67767829","https://openalex.org/W80627272","https://openalex.org/W976923575","https://openalex.org/W1517457906","https://openalex.org/W1541384941","https://openalex.org/W1570448133","https://openalex.org/W1573617163","https://openalex.org/W1766594731","https://openalex.org/W1967277621","https://openalex.org/W1972531982","https://openalex.org/W2035055162","https://openalex.org/W2063813235","https://openalex.org/W2081532498","https://openalex.org/W2096451472","https://openalex.org/W2099153428","https://openalex.org/W2100110464","https://openalex.org/W2117915653","https://openalex.org/W2118209906","https://openalex.org/W2123977051","https://openalex.org/W2133928392","https://openalex.org/W2142261479","https://openalex.org/W2163316275","https://openalex.org/W2538491138","https://openalex.org/W2966207845","https://openalex.org/W2973651390","https://openalex.org/W3120740533","https://openalex.org/W4205930639","https://openalex.org/W4251036056","https://openalex.org/W4300490660"],"related_works":["https://openalex.org/W2592952084","https://openalex.org/W3216028647","https://openalex.org/W2154303101","https://openalex.org/W2032933424","https://openalex.org/W4229003453","https://openalex.org/W2020701082","https://openalex.org/W3197105638","https://openalex.org/W188786151","https://openalex.org/W3192757256","https://openalex.org/W2165213086"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-10T08:33:47.465468","created_date":"2025-10-10T00:00:00"}
