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A decentralised approach to privacy preserving trajectory mining.

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Title: A decentralised approach to privacy preserving trajectory mining.
Authors: Talat, Romana1, romanatalat.buic@bahria.edu.pk, Obaidat, Mohammad S.1,2,3,4, msobaidat@gmail.com, Muzammal, Muhammad1, muzammal@bui.edu.pk, Sodhro, Ali Hassan5, ali.hassan.sodhro@liu.se, Luo, Zongwei1,6, luozw@sustech.edu.cn, Pirbhulal, Sandeep1,7, sandeep@siat.ac.cn
Source: Future Generation Computer Systems; Jan2020, Vol. 102, p382-392, 11p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 139770988
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=139770988
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.future.2019.07.068
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 382
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      – TitleFull: A decentralised approach to privacy preserving trajectory mining.
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            NameFull: Talat, Romana
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            NameFull: Obaidat, Mohammad S.
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            NameFull: Muzammal, Muhammad
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            NameFull: Sodhro, Ali Hassan
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            NameFull: Luo, Zongwei
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            NameFull: Pirbhulal, Sandeep
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            – D: 01
              M: 01
              Text: Jan2020
              Type: published
              Y: 2020
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              Value: 0167739X
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              Value: 102
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