{"id":"https://openalex.org/W2983651831","doi":"https://doi.org/10.1007/978-3-030-33617-2_20","title":"A Metric Framework for Quantifying Data Concentration","display_name":"A Metric Framework for Quantifying Data Concentration","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983651831","doi":"https://doi.org/10.1007/978-3-030-33617-2_20","mag":"2983651831"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-33617-2_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-33617-2_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"Lecture Notes in Computer Science","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/A5084849133","display_name":"Peter Mitic","orcid":"https://orcid.org/0000-0002-9845-4435"},"institutions":[{"id":"https://openalex.org/I4210095171","display_name":"Laboratory of Excellence for Financial Regulation","ror":"https://ror.org/00khkb614","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210095171"]},{"id":"https://openalex.org/I4394709243","display_name":"Santander Universities","ror":"https://ror.org/012gedv51","country_code":null,"type":"other","lineage":["https://openalex.org/I4394709243"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["FR","GB"],"is_corresponding":true,"raw_author_name":"Peter Mitic","raw_affiliation_strings":["Department of Computer Science, UCL, Gower Street, London, WC1E 6BT, UK","Laboratoire d\u2019Excellence sur la R\u00e9gulation Financi\u00e8re (LabEx ReFi), Paris, France","Risk, Santander UK, London, NW1 3AN, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UCL, Gower Street, London, WC1E 6BT, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Laboratoire d\u2019Excellence sur la R\u00e9gulation Financi\u00e8re (LabEx ReFi), Paris, France","institution_ids":["https://openalex.org/I4210095171"]},{"raw_affiliation_string":"Risk, Santander UK, London, NW1 3AN, UK","institution_ids":["https://openalex.org/I4394709243"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084849133"],"corresponding_institution_ids":["https://openalex.org/I4210095171","https://openalex.org/I4394709243","https://openalex.org/I45129253"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.3262,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93728159,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.982200026512146,"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/logistic-regression","display_name":"Logistic regression","score":0.7643176317214966},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7281049489974976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7131568193435669},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7038767337799072},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6085449457168579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5032660365104675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46030405163764954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4410315454006195},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42398083209991455},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41939622163772583},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41749459505081177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26604920625686646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15285277366638184}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7643176317214966},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7281049489974976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7131568193435669},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7038767337799072},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6085449457168579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5032660365104675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46030405163764954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4410315454006195},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42398083209991455},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41939622163772583},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41749459505081177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26604920625686646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15285277366638184},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-33617-2_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-33617-2_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10163342","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10163342/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Yin, Hujun and Camacho, David and Tino, Peter and Tall\u00f3n-Ballesteros, Antonio J and Menezes, Ronaldo and Allmendinger, Richard, (eds.) Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2019.  (pp. pp. 181-190).  Springer Nature: Cham, Switzerland. (2019)     ","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1871307086","https://openalex.org/W2085988980","https://openalex.org/W2093829413","https://openalex.org/W2097752063","https://openalex.org/W2127958806","https://openalex.org/W2131816657","https://openalex.org/W2146843937","https://openalex.org/W2169439765","https://openalex.org/W2319270064","https://openalex.org/W2788025656","https://openalex.org/W2790611518","https://openalex.org/W2796310713","https://openalex.org/W2902343562","https://openalex.org/W2911455822","https://openalex.org/W2944016032","https://openalex.org/W2962845528","https://openalex.org/W3020750422"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W3211735916"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}