G. Prabhakar  Reddy, K. Sai  Prasad, N. Chandra Shekar  Reddy, R.  Karthik, 
    Privacy Preserving and Data Publishing using Tuple Grouping Algorithm,
    Journal of Engineering and Applied Sciences,
    Volume 13,Issue 4,
    2018,
    Pages 930-933,
    ISSN 1816-949x,
    jeasci.2018.930.933,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2018.930.933)
    Abstract: The key aspect of privacy protection is information sanitization intent for better data utility. The
information is classified into three type’s, i.e., first identifiers which labels the identity, second quasi-identifiers
the type of disclosure that needs to be focused on identity disclosure. A quasi-identifier refers to a attributes
subsets that can uniquely identify tuples like personal health information consists name, address, gender,
mobile number and third is sensitive attributes like disease, salary must be disclosed form others. Privacy is
a key issue where prospects will be harmed by inappropriate disclosure of few assets.
    Keywords: Bucketization;generalization;slicing;tuple grouping;data privacy;gender