{"id":"https://openalex.org/W2751684531","doi":"https://doi.org/10.1109/iscc.2017.8024694","title":"Privacy preserving clustering over horizontal and vertical partitioned data","display_name":"Privacy preserving clustering over horizontal and vertical partitioned data","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2751684531","doi":"https://doi.org/10.1109/iscc.2017.8024694","mag":"2751684531"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2017.8024694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2017.8024694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-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/A5014715753","display_name":"Mina Sheikhalishahi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mina Sheikhalishahi","raw_affiliation_strings":["Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101546784","display_name":"Fabio Martinelli","orcid":"https://orcid.org/0000-0002-6721-9395"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Martinelli","raw_affiliation_strings":["Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy","institution_ids":["https://openalex.org/I4210130157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014715753"],"corresponding_institution_ids":["https://openalex.org/I4210130157"],"apc_list":null,"apc_paid":null,"fwci":2.9253,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.92971579,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"141","issue":null,"first_page":"1237","last_page":"1244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10237","display_name":"Cryptography and Data Security","score":0.9988999962806702,"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/T11106","display_name":"Data Management and Algorithms","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7909383773803711},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7715334892272949},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.769383430480957},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6827024221420288},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.643657922744751},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5852539539337158},{"id":"https://openalex.org/keywords/horizontal-and-vertical","display_name":"Horizontal and vertical","score":0.5804827809333801},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.42795228958129883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1751786768436432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14029332995414734},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13790056109428406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12677428126335144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909383773803711},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7715334892272949},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.769383430480957},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6827024221420288},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.643657922744751},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5852539539337158},{"id":"https://openalex.org/C59218005","wikidata":"https://www.wikidata.org/wiki/Q17027571","display_name":"Horizontal and vertical","level":2,"score":0.5804827809333801},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.42795228958129883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1751786768436432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14029332995414734},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13790056109428406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12677428126335144},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc.2017.8024694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2017.8024694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2391357","https://openalex.org/W14750675","https://openalex.org/W43134530","https://openalex.org/W1501500081","https://openalex.org/W1557073126","https://openalex.org/W1974392920","https://openalex.org/W2013141188","https://openalex.org/W2088339831","https://openalex.org/W2105564121","https://openalex.org/W2137596716","https://openalex.org/W2141306376","https://openalex.org/W2166825417","https://openalex.org/W2295324252","https://openalex.org/W2400277410","https://openalex.org/W2563117538","https://openalex.org/W2586324587","https://openalex.org/W2608204476","https://openalex.org/W2742944671","https://openalex.org/W3141585064","https://openalex.org/W6600105837","https://openalex.org/W6675627833","https://openalex.org/W6697252555"],"related_works":["https://openalex.org/W2379604828","https://openalex.org/W2603836689","https://openalex.org/W2495338271","https://openalex.org/W2734734306","https://openalex.org/W1560498978","https://openalex.org/W3186466419","https://openalex.org/W2886661658","https://openalex.org/W620238130","https://openalex.org/W2511442670","https://openalex.org/W2282758527"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,7],"framework":[4],"for":[5,30,44],"constructing":[6,78],"hierarchical":[8],"categorical":[9],"clustering":[10],"algorithm":[11],"on":[12,40,61],"horizontal":[13],"and":[14,66],"vertical":[15],"partitioned":[16],"dataset.":[17],"It":[18],"is":[19,23],"assumed":[20],"that":[21,29],"data":[22],"distributed":[24],"between":[25],"two":[26],"parties,":[27],"such":[28],"general":[31],"benefits":[32],"both":[33],"are":[34],"willing":[35],"to":[36,49,71],"detect":[37],"the":[38,51,74],"clusters":[39],"whole":[41],"dataset,":[42],"but":[43],"privacy":[45],"concerns,":[46],"they":[47],"refuse":[48],"share":[50],"original":[52],"datasets.":[53],"To":[54],"this":[55],"end,":[56],"we":[57],"propose":[58],"algorithms":[59],"based":[60],"secure":[62,67],"weighted":[63],"average":[64],"protocol":[65],"number":[68],"comparison":[69],"protocol,":[70],"securely":[72],"compute":[73],"desired":[75],"criteria":[76],"in":[77],"clusters'":[79],"scheme.":[80]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
