Privacy preservation for re-publication data by using probabilistic graph

• المؤلفون الرئيسيون: Pachara Tinamas, Nattapon Harnsamut, Surapon Riyana, Juggapong Natwichai
• التنسيق: Book Series
• منشور في: 2020
• الموضوعات: Computer Science; Engineering
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082339981&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/67744

© Springer Nature Switzerland AG 2019. With the dynamism of data intensive applications, data can be changed by the insert, update, and delete operations, at all times. Thus, the privacy models are designed to protect the static dataset might not be able to cope with the case of the dynamic dataset...