{"id":"https://openalex.org/W2620157568","doi":null,"title":"Privacy Preserving Sequential Pattern Mining in Distributed Databases","display_name":"Privacy Preserving Sequential Pattern Mining in Distributed Databases","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2620157568","mag":"2620157568"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.93.1187","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.1187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1.cs.columbia.edu/~vk2199/papers/Pripsep06_kpttV8.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5079926688","display_name":"Vishal Kapoor","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Kapoor","raw_affiliation_strings":["Netaji Subhas Inst. of Technology, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Netaji Subhas Inst. of Technology, New Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5150812091","display_name":"Netaji Subhas","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Netaji Subhas","raw_affiliation_strings":["EMA-LGI2P/Site EERIE, N\u00eemes Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EMA-LGI2P/Site EERIE, N\u00eemes Cedex, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065926187","display_name":"Azad Hind","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azad Hind","raw_affiliation_strings":["EMA-LGI2P/Site EERIE, N\u00eemes Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EMA-LGI2P/Site EERIE, N\u00eemes Cedex, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5150797141","display_name":"Fauj Marg","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fauj Marg","raw_affiliation_strings":["LIRMM UMR CNRS 5506, Montpellier Cedex, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIRMM UMR CNRS 5506, Montpellier Cedex, France#TAB#","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210101743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9990000128746033,"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":0.9990000128746033,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.00019999999494757503,"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/T10237","display_name":"Cryptography and Data Security","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/privacy-preserving-data-mining","display_name":"privacy-preserving data mining","score":0.9269999861717224},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"sequential pattern mining","score":0.9980000257492065},{"id":"https://openalex.org/keywords/distributed-databases","display_name":"distributed databases","score":0.9980000257492065},{"id":"https://openalex.org/keywords/multi-party-computation","display_name":"multi-party computation","score":0.8500000238418579},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"personally identifiable information","score":0.8159999847412109},{"id":"https://openalex.org/keywords/secure-protocols","display_name":"secure protocols","score":0.5730000138282776},{"id":"https://openalex.org/keywords/privacy-law","display_name":"privacy law","score":0.546999990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662777662277222},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6193296313285828},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5813952088356018},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5703836679458618},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.5195251107215881},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5049448609352112},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.49601587653160095},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.46079808473587036},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.4439657926559448},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3702769875526428},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3499526381492615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0954517126083374},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.93.1187","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.1187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1.cs.columbia.edu/~vk2199/papers/Pripsep06_kpttV8.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1510952750","https://openalex.org/W1549547341","https://openalex.org/W1574994418","https://openalex.org/W1595304235","https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W1990800901","https://openalex.org/W2001336960","https://openalex.org/W2002352982","https://openalex.org/W2009733253","https://openalex.org/W2016267457","https://openalex.org/W2047370889","https://openalex.org/W2068383400","https://openalex.org/W2078937669","https://openalex.org/W2080911030","https://openalex.org/W2088492763","https://openalex.org/W2092422002","https://openalex.org/W2093367651","https://openalex.org/W2095700816","https://openalex.org/W2147694185","https://openalex.org/W2149252739","https://openalex.org/W2158454296","https://openalex.org/W2688249815"],"related_works":["https://openalex.org/W129631723","https://openalex.org/W2017034299","https://openalex.org/W3082700751","https://openalex.org/W2124975984","https://openalex.org/W2391209197","https://openalex.org/W2535257506","https://openalex.org/W90609910","https://openalex.org/W2144532044","https://openalex.org/W171187529","https://openalex.org/W2389240949"],"abstract_inverted_index":{"Research":[0],"in":[1,8,12,21,57,82,152],"the":[2,30,63,72,83,99,119],"areas":[3],"of":[4,33,85,102,121,133,154],"privacy":[5,13,64,76],"preserving":[6,128],"techniques":[7],"databases":[9,126],"and":[10,38,156,167],"subsequently":[11],"enhancement":[14],"technologies":[15],"have":[16,47,78],"witnessed":[17],"an":[18],"explosive":[19],"growth-spurt":[20],"recent":[22],"years.":[23],"This":[24],"escalation":[25],"has":[26],"been":[27],"fueled":[28],"by":[29,70,170],"growing":[31],"mistrust":[32],"individuals":[34],"towards":[35],"organizations":[36,58],"collecting":[37],"disbursing":[39],"their":[40,103],"Personally":[41],"Identifiable":[42],"Information":[43],"(PII).":[44],"Digital":[45],"repositories":[46],"become":[48],"increasingly":[49],"susceptible":[50],"to":[51,59,97,138,145],"intentional":[52],"or":[53],"unintentional":[54],"abuse,":[55],"resulting":[56],"be":[60,93],"liable":[61],"under":[62],"legislations":[65],"that":[66,136,164],"are":[67],"being":[68],"adopted":[69],"governments":[71],"world":[73,150],"over.":[74],"These":[75],"concerns":[77],"necessitated":[79],"new":[80,111],"advancements":[81],"field":[84],"distributed":[86,125],"data":[87],"mining":[88,120,146],"wherein,":[89],"collaborating":[90],"parties":[91],"may":[92],"legally":[94],"bound":[95],"not":[96],"reveal":[98],"private":[100],"information":[101],"customers.":[104],"In":[105],"this":[106],"paper,":[107],"we":[108,162],"present":[109],"a":[110],"algorithm":[112,172],"PriPSeP":[113,134],"(Privacy":[114],"Preserving":[115],"Sequential":[116],"Patterns)":[117],"for":[118,148,173],"sequential":[122],"patterns":[123],"from":[124],"while":[127],"privacy.":[129],"A":[130],"salient":[131],"feature":[132],"is":[135,142,176],"due":[137],"its":[139],"flexibility":[140],"it":[141],"more":[143],"pertinent":[144],"operations":[147],"real":[149],"applications":[151],"terms":[153],"efficiency":[155],"functionality.":[157],"Under":[158],"some":[159],"reasonable":[160],"assumptions,":[161],"prove":[163],"our":[165,171],"architecture":[166],"protocol":[168],"employed":[169],"multi-party":[174],"computation":[175],"secure.":[177],"1.":[178]},"counts_by_year":[],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2017-06-05T00:00:00"}
