Achieving Privacy Preservation Constraints in Missing-Value Datasets

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multidimensional Techniques for Privacy Preservation in Datasets

w w w . i j c s t . c o m InternatIonal Journal of Computer SCIenCe and teChnology 485 Abstract Applications in commercial domains possess large datasets on individuals. This data includes private and sensitive information e.g. patient diseases, bank account details, organization structural details etc. When data mining techniques are applied on these applications the private and sensitive info...

متن کامل

Achieving Privacy Preservation when Sharing Data for Clustering

In this paper, we address the problem of protecting the underlying attribute values when sharing data for clustering. The challenge is how to meet privacy requirements and guarantee valid clustering results as well. To achieve this dual goal, we propose a novel spatial data transformation method called Rotation-Based Transformation (RBT). The major features of our data transformation are: a) it...

متن کامل

Achieving Convergence , Causality - preservation , andIntention - preservation in Real - time

Real-time cooperativeediting systems allow multipleusers to view and edit the same text/graphic/ image/multimedia document at the same time from multiple sites connected by communication networks. Consistency maintenance is one of the most signiicant challenges in designing and im-plementingreal-time cooperative editing systems. In this paper, a consistency model, with properties of convergence...

متن کامل

Privacy Preservation by Disassociation

In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniques (a) protect the privacy of users either by altering the set of quasi-identifiers of the original data (e.g., by generalization or suppression) or by adding noise (e.g., using differential privacy) and/or (b) assume a clear distin...

متن کامل

Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets

Many real-world medical datasets contain some proportion of missing (attribute) values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based on the (complete) observed data. However, if the observed data contain some noisy information or outliers, the estimations of the missing values may...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: SN Computer Science

سال: 2020

ISSN: 2662-995X,2661-8907

DOI: 10.1007/s42979-020-00241-9