{"id":"https://openalex.org/W2134966679","doi":"https://doi.org/10.1007/978-0-387-09695-7_8","title":"P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction","display_name":"P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction","publication_year":2008,"publication_date":"2008-08-19","ids":{"openalex":"https://openalex.org/W2134966679","doi":"https://doi.org/10.1007/978-0-387-09695-7_8","mag":"2134966679"},"language":"en","primary_location":{"id":"doi:10.1007/978-0-387-09695-7_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-09695-7_8","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-09695-7_8.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP \u2013 The International Federation for Information Processing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-09695-7_8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085158698","display_name":"Frederic Stahl","orcid":"https://orcid.org/0000-0002-4860-0203"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Frederic T. Stahl","raw_affiliation_strings":["University of Portsmouth, Portsmouth","University Of Portsmouth"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Portsmouth, Portsmouth","institution_ids":["https://openalex.org/I63072094"]},{"raw_affiliation_string":"University Of Portsmouth","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112240698","display_name":"Max Bramer","orcid":null},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Max A. Bramer","raw_affiliation_strings":["University of Portsmouth, Portsmouth","University Of Portsmouth"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Portsmouth, Portsmouth","institution_ids":["https://openalex.org/I63072094"]},{"raw_affiliation_string":"University Of Portsmouth","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003017750","display_name":"Mo Adda","orcid":"https://orcid.org/0000-0002-8741-6986"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mo Adda","raw_affiliation_strings":["University of Portsmouth, Portsmouth","University Of Portsmouth"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Portsmouth, Portsmouth","institution_ids":["https://openalex.org/I63072094"]},{"raw_affiliation_string":"University Of Portsmouth","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7675,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77712264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"86"},"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":0.9973999857902527,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9894999861717224,"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/computer-science","display_name":"Computer science","score":0.6967344880104065},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6900418400764465},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6033442616462708},{"id":"https://openalex.org/keywords/classification-rule","display_name":"Classification rule","score":0.5206381678581238},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4900778532028198},{"id":"https://openalex.org/keywords/prism","display_name":"Prism","score":0.4882567226886749},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.48807084560394287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4789893627166748},{"id":"https://openalex.org/keywords/rule-induction","display_name":"Rule induction","score":0.44053131341934204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41592714190483093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3959557116031647},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33661574125289917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3329927921295166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12568515539169312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967344880104065},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6900418400764465},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6033442616462708},{"id":"https://openalex.org/C104317236","wikidata":"https://www.wikidata.org/wiki/Q4330126","display_name":"Classification rule","level":2,"score":0.5206381678581238},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4900778532028198},{"id":"https://openalex.org/C67666897","wikidata":"https://www.wikidata.org/wiki/Q165896","display_name":"Prism","level":2,"score":0.4882567226886749},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.48807084560394287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4789893627166748},{"id":"https://openalex.org/C2776780472","wikidata":"https://www.wikidata.org/wiki/Q7378945","display_name":"Rule induction","level":2,"score":0.44053131341934204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41592714190483093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3959557116031647},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33661574125289917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3329927921295166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12568515539169312},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-0-387-09695-7_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-09695-7_8","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-09695-7_8.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP \u2013 The International Federation for Information Processing","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.568.7454","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.568.7454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.maxbramer.org.uk/papers/p-prism.pdf","raw_type":"text"},{"id":"pmh:oai:centaur.reading.ac.uk:30151","is_oa":false,"landing_page_url":"http://link.springer.com/chapter/10.1007%2F978-0-387-09695-7_8","pdf_url":null,"source":{"id":"https://openalex.org/S4306402273","display_name":"CentAUR (University of Reading)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71052956","host_organization_name":"University of Reading","host_organization_lineage":["https://openalex.org/I71052956"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book or Report Section"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/72fbf2d3-1886-4b13-bc4b-fbca772acd85","is_oa":false,"landing_page_url":"https://researchportal.port.ac.uk/portal/en/publications/pprism-a-computationally-efficient-approach-to-scaling-up-classification-rule-induction(72fbf2d3-1886-4b13-bc4b-fbca772acd85).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1007/978-0-387-09695-7_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-09695-7_8","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-09695-7_8.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP \u2013 The International Federation for Information Processing","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2134966679.pdf","grobid_xml":"https://content.openalex.org/works/W2134966679.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W22116233","https://openalex.org/W1483135265","https://openalex.org/W1530385206","https://openalex.org/W1569433171","https://openalex.org/W1598972413","https://openalex.org/W1978515644","https://openalex.org/W1985510377","https://openalex.org/W2059085521","https://openalex.org/W2070875588","https://openalex.org/W2160588568","https://openalex.org/W2167980479","https://openalex.org/W3112596628"],"related_works":["https://openalex.org/W2040287254","https://openalex.org/W1960594772","https://openalex.org/W2014995154","https://openalex.org/W2116012423","https://openalex.org/W2392031429","https://openalex.org/W2483270252","https://openalex.org/W3217477647","https://openalex.org/W4385958183","https://openalex.org/W4251885268","https://openalex.org/W1839777702"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}