Special Issue on Privacy Preservation in Data Mining and Knowledge Discovery

Submission Deadline: Jan. 10, 2020

Please click the link to know more about Manuscript Preparation: http://www.ajdmkd.org/submission

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)
  • Lead Guest Editor
    • Dr.v.shyamala susan
      Department of Computer Science, A.P.C. Mahalaxmi College for Women, Manonmanium Sundaranar University, tuticorin, tamilnadu, India
  • Guest Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
    • Suresh Shanmugasundaram
      Faculty of Engineering & Applied Sciences, Botho University, Gaborone, Botswana
    • Dr.S.Chidambara Nathan
      MCA Department, St. Xavier's College, Palayamkottai, India
    • A. Amuthan
      Department of Computer Science & Engineering, Pondicherry Engineering College, Pondicherry, India
    • Juliana Sunil
      Department of Information Technology, Rathinam college of arts and science, Bharathiar University, Coimbatore, India
    • Sankari Sankaran
      Department of Chemistry, A.P.C Mahalaxmi College for Women, Thoothukudi, Tamilnadu, India
  • Introduction

    Data mining and knowledge discovery in recent research needs a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. The collection and analysis of data are continuously growing due to the prevalence of computing devices. The analysis of such information is needed for developing businesses and to the society in different fields.
    This Special Issue will mainly focus on the information and knowledge analysis, as well as the extraction of the inherited knowledge. And this will also focus on extracting knowledge by incorporating it into smart tools and applications. Rapid growing of information technologies nowadays has brought wonderful opportunities for data sharing and integration, and also demands for privacy protection. Privacy-preserving data mining techniques assure data privacy without compromising the confidentiality and quality of data. Although many techniques have been developed, many of the key problems still remain open in this area. Hence this special issue will also aims to provide an opportunity for presenting recent advances as well as new research directions in all issues related to privacy-preserving data mining.
    In this special issue, Scientists/Researchers/Students/Other Scholar are invited, to submit their original research, case study, survey paper or extensive review articles.

    Aims and Scope:

    1. Data mining and machine learning applied to information extraction
    2. Knowledge base maintenance using Machine Learning and Data Mining
    3. Security and semantic issues and technologies for knowledge discovery and sharing
    4. Data mining techniques for mining and analyzing software repositories
    5. Information Retrieval techniques for mining and analyzing software repositories
    6. Knowledge Discovery and Extraction
    7. Mining fields: Data Mining, Text Mining, Cloud Mining, Web Mining
    8. Information Extraction and Retrievals
    9. Privacy-preserving data mining
    10. Privacy-preserving Information Retrieval
    11. Trust management for information mining
    12. Inference/disclosure related information mining
    13. Privacy enhancement technologies in web environments
    14. Privacy policy analysis
    15. Privacy-preserving data integration
    16. Privacy policy infrastructure
    17. Data mining for security and privacy
    18. Computational intelligence in security and privacy
    19. Intrusion, anomaly and fraud detection
    20. Data-driven access control
    21. Secure cloud computing
    22. Secure multi-party computation
    23. Data privacy
    24. Sensitive data collection

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ajdmkd.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.